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SEQUENCE LEARNING

  • Sequence learning
  • Method of human learning

    cognitive psychology, sequence learning is inherent to human ability because it is an integrated part of conscious and nonconscious learning as well as activities

    Sequence learning

    Sequence_learning

  • Transformer (deep learning)
  • Algorithm for modelling sequential data

    to mitigate the vanishing gradient problem, allowing efficient learning of long-sequence modelling. One key architectural element was the use of multiplicative

    Transformer (deep learning)

    Transformer (deep learning)

    Transformer_(deep_learning)

  • Seq2seq
  • Family of machine learning approaches

    machine learning and natural language processing, seq2seq is a family of approaches that uses sequence transformation, i.e., it turns an input sequence into

    Seq2seq

    Seq2seq

    Seq2seq

  • Attention (machine learning)
  • Machine learning technique

    In machine learning, attention is a method that determines the importance of, or "attends to", each component in a sequence relative to the other components

    Attention (machine learning)

    Attention (machine learning)

    Attention_(machine_learning)

  • Ilya Sutskever
  • Computer scientist (born 1986)

    specializes in machine learning. He has made several major contributions to the field of deep learning, including sequence-to-sequence learning, reasoning models

    Ilya Sutskever

    Ilya Sutskever

    Ilya_Sutskever

  • Recurrent neural network
  • Class of artificial neural network

    machine translation, while another 2014 study demonstrated sequence-to-sequence learning using LSTMs. They became state of the art in machine translation

    Recurrent neural network

    Recurrent_neural_network

  • Associative sequence learning
  • Theory of learning

    Associative sequence learning (ASL) is a neuroscientific theory that attempts to explain how mirror neurons are able to match observed and performed actions

    Associative sequence learning

    Associative_sequence_learning

  • Attention Is All You Need
  • 2017 paper conceptualizing the transformer-based deep learning architecture

    Sutskever, Ilya; Vinyals, Oriol; Le, Quoc Viet (14 December 2014). "Sequence to sequence learning with neural networks". arXiv:1409.3215 [cs.CL]. [first version

    Attention Is All You Need

    Attention Is All You Need

    Attention_Is_All_You_Need

  • Implicit learning
  • Unintentional learning of complex information

    learning. The topic has been studied in relation to real world systems (dynamic control systems), artificial grammar learning and sequence learning most

    Implicit learning

    Implicit_learning

  • Tomáš Mikolov
  • Czech computer scientist (born 1982)

    technique for learning word embeddings from text. Mikolov then co-authored the research behind fastText, which uses character sequences within words to

    Tomáš Mikolov

    Tomáš Mikolov

    Tomáš_Mikolov

  • Outline of deep learning
  • Overview of and topical guide to deep learning

    Backpropagation LeNet Long short-term memory Deep belief network AlexNet Sequence to sequence learning Generative adversarial network Residual neural network Transformer

    Outline of deep learning

    Outline_of_deep_learning

  • Chunking (psychology)
  • Cognitive psychology process

    Generalization (learning) Knowledge representation and reasoning Memory Memory Encoding Merge (linguistics) Method of loci Mnemonic Sequence learning Tokens in

    Chunking (psychology)

    Chunking_(psychology)

  • Deep learning
  • Branch of machine learning

    PMID 18249962. Sutskever, L.; Vinyals, O.; Le, Q. (2014). "Sequence to Sequence Learning with Neural Networks" (PDF). Proc. NIPS. arXiv:1409.3215.

    Deep learning

    Deep learning

    Deep_learning

  • Quoc V. Le
  • Vietnamese-American computer scientist (born 1982)

    known for his pioneering work in deep learning, particularly in large-scale unsupervised learning, sequence-to-sequence (seq2seq) models, and AutoML (neural

    Quoc V. Le

    Quoc_V._Le

  • Machine learning
  • Subset of artificial intelligence

    perform inference and learning. Bayesian networks that model sequences of variables, like speech signals or protein sequences, are called dynamic Bayesian

    Machine learning

    Machine_learning

  • Long short-term memory
  • Recurrent neural network architecture

    is its advantage over other RNNs, hidden Markov models, and other sequence learning methods. It aims to provide a short-term memory for RNN that can last

    Long short-term memory

    Long short-term memory

    Long_short-term_memory

  • Mamba (deep learning architecture)
  • Deep learning architecture

    Mamba is a deep learning architecture focused on sequence modeling. It was developed by two researchers Albert Gu from Carnegie Mellon University and

    Mamba (deep learning architecture)

    Mamba_(deep_learning_architecture)

  • Hidden Markov model
  • Statistical Markov model

    hypothesis for the output sequence. The parameter learning task in HMMs is to find, given an output sequence or a set of such sequences, the best set of state

    Hidden Markov model

    Hidden_Markov_model

  • Imitation learning
  • Machine learning technique where agents learn from demonstrations

    approach models reinforcement learning as a sequence modelling problem. Similar to Behavior Cloning, it trains a sequence model, such as a Transformer

    Imitation learning

    Imitation_learning

  • Vocal learning
  • Ability to learn vocalization

    are frequently in the wrong sequence, errors that are similar to phonological mistakes made by young children when learning a language. As the bird ages

    Vocal learning

    Vocal_learning

  • BERT (language model)
  • Series of language models developed by Google AI

    researchers at Google. It learns to represent text as a sequence of vectors using self-supervised learning. It uses the encoder-only transformer architecture

    BERT (language model)

    BERT_(language_model)

  • Reinforcement learning
  • Field of machine learning

    Reinforcement learning is one of the three basic machine learning paradigms, alongside supervised learning and unsupervised learning. While supervised learning and

    Reinforcement learning

    Reinforcement learning

    Reinforcement_learning

  • Laura Helmuth
  • American science journalist

    thesis Sequence Learning in Patients with Parkinson's Disease. Her research included the role of the cerebellum in verbal function, learning, attention

    Laura Helmuth

    Laura Helmuth

    Laura_Helmuth

  • Fusion adaptive resonance theory
  • myriad of learning paradigms, notably unsupervised learning, supervised learning, reinforcement learning, multimodal learning, and sequence learning. In addition

    Fusion adaptive resonance theory

    Fusion_adaptive_resonance_theory

  • Machine learning in biology
  • Software for understanding biological data

    domain data is an important component of learning systems. In genomics, a typical representation of a sequence is a vector of k-mers frequencies, which

    Machine learning in biology

    Machine_learning_in_biology

  • Jev (AI model)
  • Artificial intelligence model developed by TypeSafe AI

    Like generative pretrained transformer models, it can perform zero-shot learning of input for categories provided at inference time, based on contextual

    Jev (AI model)

    Jev_(AI_model)

  • Oriol Vinyals
  • Spanish machine learning researcher

    Gemini, I'm saying goodbye to GDM" / X". "9. Oriol Vinyals: Sequence-to-Sequence Machine Learning - The Future of Machine Intelligence [Book]". www.oreilly

    Oriol Vinyals

    Oriol_Vinyals

  • Positional encoding
  • Deep learning technique

    In deep learning, the positional encoding or position embedding is a component of sequence models, especially Transformers. Input data such as text, images

    Positional encoding

    Positional_encoding

  • Artificial grammar learning
  • between encoding and retrieval in the domain of sequence learning". Journal of Experimental Psychology: Learning, Memory, and Cognition. 32 (1): 118–130. doi:10

    Artificial grammar learning

    Artificial_grammar_learning

  • Danbooru
  • Anime-focused imageboard website

    large ecosystem of derivative software, related imageboards and machine learning datasets. Danbooru was created in 2005 as an imageboard for sharing and

    Danbooru

    Danbooru

    Danbooru

  • Cosine similarity
  • Similarity measure for number sequences

    techniques. This normalised form distance is often used within many deep learning algorithms. In biology, there is a similar concept known as the Otsuka–Ochiai

    Cosine similarity

    Cosine_similarity

  • Sharon Naismith
  • Australian clinical neuropsychologist

    Macquarie University. Her 2004 dissertation was titled, Implicit Sequence Learning in Depression Relationship to Neuropsychological, Clinical, Vascular

    Sharon Naismith

    Sharon_Naismith

  • Sequence labeling
  • In machine learning, sequence labeling is a type of pattern recognition task that involves the algorithmic assignment of a categorical label to each member

    Sequence labeling

    Sequence_labeling

  • Lists of open-source artificial intelligence software
  • and tools used for machine learning, deep learning, natural language processing, computer vision, reinforcement learning, artificial general intelligence

    Lists of open-source artificial intelligence software

    Lists_of_open-source_artificial_intelligence_software

  • Normalization (machine learning)
  • Machine learning technique

    In machine learning, normalization is a statistical technique with various applications. There are two main forms of normalization, namely data normalization

    Normalization (machine learning)

    Normalization_(machine_learning)

  • Q-learning
  • Model-free reinforcement learning algorithm

    Q-learning is a reinforcement learning algorithm that trains an agent to assign values to its possible actions based on its current state, without requiring

    Q-learning

    Q-learning

  • Arthur S. Reber
  • American psychologist (1940–2025)

    Meulemans, T.; Van der Linden, T.; Perruchet, P. (1998). "Implicit sequence learning in children". Journal of Experimental Child Psychology. 69 (3): 199–221

    Arthur S. Reber

    Arthur_S._Reber

  • Motor learning
  • Movements that reflect nervous system changes

    Procedural memory Proximodistal trend Sequence learning Adams JA (June 1971). "A closed-loop theory of motor learning". J mot Behav. 3 (2): 111–49. doi:10

    Motor learning

    Motor_learning

  • Learning pathway
  • knowledge progressively. With learning pathways, the control of choice moves away from the tutor to the learner. "The sequence of intermediate steps from

    Learning pathway

    Learning_pathway

  • Hierarchical temporal memory
  • Biological theory of intelligence

    core of HTM are learning algorithms that can store, learn, infer, and recall high-order sequences. Unlike most other machine learning methods, HTM constantly

    Hierarchical temporal memory

    Hierarchical_temporal_memory

  • History of artificial neural networks
  • Research. Sutskever, Ilya; Vinyals, Oriol; Le, Quoc V. (2014). "Sequence to Sequence Learning with Neural Networks" (PDF). Electronic Proceedings of the Neural

    History of artificial neural networks

    History_of_artificial_neural_networks

  • Hick's law
  • Time to make a decision as a result of the possible choices

    Savietto, J.P.; Sato, J.R.; Xavier, G. F.; Helene, A. F. (2016). "On Sequence Learning Models: Open-loop Control Not Strictly Guided by Hick's Law". Scientific

    Hick's law

    Hick's_law

  • Learning disability
  • Range of neurodevelopmental conditions

    placed in a sequence, or related to previous learning. Students with problems in these areas may be unable to tell a story in the correct sequence, unable

    Learning disability

    Learning disability

    Learning_disability

  • Domain-general learning
  • Theory of cognitive development

    Christopher M.; Field, Suzanne L.; Houston, Derek M. (2012). "Visual Sequence Learning in Infancy: Domain-General and Domain-Specific Associations with Language"

    Domain-general learning

    Domain-general_learning

  • Perceptron
  • Algorithm for supervised learning of binary classifiers

    In machine learning, the perceptron is an algorithm for supervised learning of binary classifiers. A binary classifier is a function that can decide whether

    Perceptron

    Perceptron

  • Decision tree learning
  • Machine learning algorithm

    pairwise dissimilarities such as categorical sequences. Decision trees are among the most popular machine learning algorithms given their intelligibility and

    Decision tree learning

    Decision_tree_learning

  • Mirror neuron
  • Type of neuron associated with empathy

    mirror neurons are trained through Hebbian or Associative learning (see Associative Sequence Learning). However, if premotor neurons need to be trained by

    Mirror neuron

    Mirror_neuron

  • Deep Learning Super Sampling
  • Image upscaling technology by Nvidia

    Deep Learning Super Sampling (DLSS) is a suite of real-time deep learning image enhancement and upscaling technologies developed by Nvidia that are available

    Deep Learning Super Sampling

    Deep_Learning_Super_Sampling

  • Serial reaction time
  • Parameter in unconscious learning processes

    between the sequence. Because the repeated sequence is not made aware to participants, their improvement in performance suggests implicit learning taking place

    Serial reaction time

    Serial_reaction_time

  • Organizational learning
  • Academic discipline; examines how goal-driven social entities add and create knowledge

    Organizational learning is the process of creating, retaining, and transferring knowledge within an organization. An organization improves over time as

    Organizational learning

    Organizational_learning

  • Cat
  • Small domesticated carnivorous mammal

    whereas the domestic cat evolved through artificial selection. The genome sequence of the domestic cat was first published in 2007 and is available at the

    Cat

    Cat

    Cat

  • Automatic bug fixing
  • Automatic repair of software bugs

    human time was spent on fixing the same bug, yet.\n\nSequenceR applies sequence-to-sequence learning directly to program repair. Trained on source-code

    Automatic bug fixing

    Automatic_bug_fixing

  • Tensor (machine learning)
  • Concept in machine learning

    In machine learning, the term tensor informally refers to two different concepts: (i) a way of organizing data and (ii) a multilinear (tensor) transformation

    Tensor (machine learning)

    Tensor_(machine_learning)

  • Types of artificial neural networks
  • Classification of Artificial Neural Networks (ANNs)

     1700–1709. Sutskever, I.; Vinyals, O.; Le, Q. V. (2014). "Sequence to sequence learning with neural networks" (PDF). Twenty-eighth Conference on Neural

    Types of artificial neural networks

    Types_of_artificial_neural_networks

  • Animal cognition
  • evidence of simple rule learning in primates and also in other animals. Much of the evidence has come from studies of sequence learning in which the "rule"

    Animal cognition

    Animal cognition

    Animal_cognition

  • Black Panther (film)
  • 2018 Marvel Studios film

    model each digital extra for the sequence. Additionally, visual effects were also used to adjust the opening sequence after test audiences were confusing

    Black Panther (film)

    Black_Panther_(film)

  • Monroe's motivated sequence
  • Public speaking strategy

    an advocacy project. This study used Monroe's motivated sequence to visually see the learning outcomes of advocacy awareness from the course syllabus

    Monroe's motivated sequence

    Monroe's_motivated_sequence

  • Sequence analysis in social sciences
  • Analysis of sets of categorical sequences

    learning, and to identify structure in interactions between individuals (see Sequence learning). Many of the methodological developments in sequence analysis

    Sequence analysis in social sciences

    Sequence analysis in social sciences

    Sequence_analysis_in_social_sciences

  • Low-discrepancy sequence
  • Type of mathematical sequence

    In mathematics, a low-discrepancy sequence is a sequence with the property that for all values of N {\displaystyle N} , its subsequence x 1 , … , x N {\displaystyle

    Low-discrepancy sequence

    Low-discrepancy_sequence

  • Donald Kirkpatrick
  • American academic writer (1924–2014)

    of your training program." Kirkpatrick's four levels are designed as a sequence of ways to evaluate training programs. Many practitioners believe that

    Donald Kirkpatrick

    Donald_Kirkpatrick

  • Solar System
  • Planetary system consisting of the Sun and objects orbiting it

    accumulates at its core, the Sun is growing brighter; early in its main-sequence life its brightness was 70% that of what it is today. The temperature,

    Solar System

    Solar System

    Solar_System

  • State space model (deep learning)
  • Type of neural network in deep learning

    Space sequence model (S4), introduced by Gu, Goel, and Ré in 2021, marked a breakthrough in making SSMs practical for large-scale deep learning. S4 addressed

    State space model (deep learning)

    State_space_model_(deep_learning)

  • Napoleon Dynamite
  • 2004 film by Jared Hess

    title sequence was filmed in cinematographer Munn Powell's basement. Ruell, who played Kip, suggested the idea of the title sequence. The sequence shows

    Napoleon Dynamite

    Napoleon_Dynamite

  • Incremental learning
  • Method of machine learning

    learning from a sequence of tasks while limiting catastrophic forgetting are often discussed under the closely related term continual learning. Many traditional

    Incremental learning

    Incremental_learning

  • Godzilla vs. Kong
  • 2021 American film by Adam Wingard

    of the Hong Kong sequence, Weta animated all of the Hollow Earth sequences, and Scanline animated a majority of the Hong Kong sequence and all of the film's

    Godzilla vs. Kong

    Godzilla_vs._Kong

  • Outline of algorithms
  • Overview of and topical guide to algorithms

    and topical guide to algorithms: An algorithm is a finite, well-defined sequence of instructions or rules for solving a problem or performing a computation

    Outline of algorithms

    Outline_of_algorithms

  • Bayesian cognitive science
  • this idea to categorization, language, motor control, sequence learning, reinforcement learning and theory of mind. At other times,[clarification needed]

    Bayesian cognitive science

    Bayesian_cognitive_science

  • Chatbot
  • Conversational software

    partner. Chatbots have existed for decades, but chatbots based on deep learning have gained popularity during the AI boom of the 2020s, with the releases

    Chatbot

    Chatbot

    Chatbot

  • Statistical classification
  • Categorization of data using statistics

    considered to be possible values of the dependent variable. In machine learning, the observations are often known as instances, the explanatory variables

    Statistical classification

    Statistical_classification

  • Python (programming language)
  • General-purpose programming language

    Parentheses are optional for tuples in unambiguous contexts. Python features sequence unpacking where multiple expressions, each evaluating to something assignable

    Python (programming language)

    Python (programming language)

    Python_(programming_language)

  • Borat
  • 2006 mockumentary directed by Larry Charles

    Borat! Cultural Learnings of America for Make Benefit Glorious Nation of Kazakhstan (known commonly as Borat, and stylized as BORДT) is a 2006 mockumentary

    Borat

    Borat

  • Structured prediction
  • Supervised machine learning techniques

    perceptron algorithm for learning linear classifiers with an inference algorithm (classically the Viterbi algorithm when used on sequence data) and can be described

    Structured prediction

    Structured_prediction

  • Stimulus–response model
  • Conceptual framework in psychology

    stimuli and responses (S‐R links). Specifically, two areas, procedural sequence learning and, as a novel finding, also event file binding, show converging

    Stimulus–response model

    Stimulus–response_model

  • Generative AI
  • AI that generates content

    systems, especially computer-aided process planning, used to generate sequences of actions to reach a specified goal. Generative AI planning systems used

    Generative AI

    Generative AI

    Generative_AI

  • Ashish Vaswani
  • Indian computer scientist

    Southern California. After Google, Vaswani co-founded Adept AI, a machine learning-focused startup that developed AI agents and tools for software automation

    Ashish Vaswani

    Ashish_Vaswani

  • Lesson plan
  • Description of the course of instruction for a lesson

    course of instruction or "learning trajectory" for a lesson. A daily lesson plan is developed by a teacher to guide class learning. Details will vary depending

    Lesson plan

    Lesson_plan

  • Bitcoin
  • Decentralized digital cryptocurrency

    Ravi (2 January 2019). "Regulating Cryptocurrencies: A Supervised Machine Learning Approach to De-Anonymizing the Bitcoin Blockchain". Journal of Management

    Bitcoin

    Bitcoin

    Bitcoin

  • Barker code
  • Sequence of digital values used for synchronisation

    In telecommunication technology, a Barker code or Barker sequence is a finite sequence of digital values with the ideal autocorrelation property. It is

    Barker code

    Barker_code

  • Fruit
  • Seed-bearing part of a flowering plant

    fruit. Inside the ovary(ies) are one or more ovules. Here begins a complex sequence called double fertilization: a female gametophyte produces an egg cell

    Fruit

    Fruit

    Fruit

  • AI boom
  • Period of rapid progress in AI

    for learning distributed word representations. Beginning in the mid-2010s, generative AI systems began to rapidly improve. In 2014–2015, sequence-to-sequence

    AI boom

    AI boom

    AI_boom

  • Representation learning
  • Set of learning techniques in machine learning

    In machine learning (ML), representation learning or feature learning is a set of techniques that allow a system to automatically discover the representations

    Representation learning

    Representation learning

    Representation_learning

  • Physical unclonable function
  • Unreproducible object used in digital security

    PUFs is that they are actual random oracles, so are immune to machine-learning attacks. The weakness is that count of CRPs is small and can be exhausted

    Physical unclonable function

    Physical_unclonable_function

  • Enthiran
  • 2010 Indian film by Shankar

    Chitti in terms of learning human emotions. While promoting Avengers: Endgame in India, co-director Joe Russo said that the sequence in Enthiran where

    Enthiran

    Enthiran

  • Finite-state machine
  • Mathematical model of computation

    devices in modern society that perform a predetermined sequence of actions depending on a sequence of events with which they are presented. Simple examples

    Finite-state machine

    Finite-state machine

    Finite-state_machine

  • Genome
  • All genetic material of an organism

    been sequenced and various regions have been annotated. The first genome to be sequenced was that of the virus φX174 in 1977; the first genome sequence of

    Genome

    Genome

    Genome

  • Gradient descent
  • Optimization algorithm

    considers the sequence 𝐱0,𝐱1,𝐱2,… such that 𝐱n+1=𝐱n−ηn∇f(𝐱n), n≥0. We have a monotonic sequence f(𝐱0)≥f(𝐱1)≥f(𝐱2)≥⋯, so the sequence (𝐱n) converges

    Gradient descent

    Gradient descent

    Gradient_descent

  • Encyclopædia Britannica
  • General-knowledge encyclopaedia

    distinct entries (articles and longer "treatises") in a single alphabetical sequence. In principle, "treatises" were to cover the arts and sciences, leaving

    Encyclopædia Britannica

    Encyclopædia_Britannica

  • 0.999...
  • Alternative decimal expansion of 1

    value is the smallest number greater than or equal to every number in the sequence 0.9, 0.99, 0.999, and so on. It can be proved that this number is 1; that

    0.999...

    0.999...

  • Da Ali G Show
  • British satirical sketch comedy television series

    three characters from the show: Ali G Indahouse (2002), Borat: Cultural Learnings of America for Make Benefit Glorious Nation of Kazakhstan (2006), Brüno

    Da Ali G Show

    Da_Ali_G_Show

  • Multilayer perceptron
  • Type of feedforward neural network

    In deep learning, a multilayer perceptron (MLP) is a kind of modern feedforward neural network consisting of fully connected neurons with nonlinear activation

    Multilayer perceptron

    Multilayer_perceptron

  • Running
  • Method of terrestrial locomotion allowing rapid movement on foot

    then start a new propulsion phase, this time with the other leg. This sequence continues as part of a flow of actions which form a pattern of steps called

    Running

    Running

    Running

  • Music
  • Form of art using sound

    musical instruments, including the human voice. It can also be composed, sequenced, or otherwise produced to be indirectly played mechanically or electronically

    Music

    Music

    Music

  • Opening and closing sequences of The Prisoner
  • Television sequences

    The dialogue sequence does not follow the awakening here, because it is essentially a compressed presentation of the Prisoner's learning about his new

    Opening and closing sequences of The Prisoner

    Opening and closing sequences of The Prisoner

    Opening_and_closing_sequences_of_The_Prisoner

  • DNA
  • Molecule that carries genetic information

    nucleic acid sequence data. These have led to widely applied advances in computer science, especially string searching algorithms, machine learning, and database

    DNA

    DNA

    DNA

  • Gordon music learning theory
  • Model for music education

    introduced in the aural/oral and verbal association level of the skill learning sequence. At the composite synthesis level, students give context to familiar

    Gordon music learning theory

    Gordon_music_learning_theory

  • Stuart Fails to Save the Universe
  • American TV series

    title sequence, which begins by breaking the fourth wall and asking the viewer to not use the "Skip Titles" function. The visuals of the title sequence change

    Stuart Fails to Save the Universe

    Stuart_Fails_to_Save_the_Universe

  • Mnemonic major system
  • Mnemonic technique for memorizing long strings of numbers

    words ad hoc. Mnemonics often center around learning a complete sequence where all objects in that sequence that come before the one you are trying to

    Mnemonic major system

    Mnemonic_major_system

  • 1
  • Natural number

    grapheme. It is the first and smallest positive integer of the infinite sequence of natural numbers. This fundamental property has led to its unique uses

    1

    1

  • Sequence alignment
  • Process in bioinformatics that identifies equivalent sites within molecular sequences

    In bioinformatics, a sequence alignment is a way of arranging the sequences of DNA, RNA, or protein to identify regions of similarity that may be a consequence

    Sequence alignment

    Sequence alignment

    Sequence_alignment

  • Kill Bill: Volume 1
  • 2003 American film by Quentin Tarantino

    and martial arts films. It features an anime sequence by Production I.G and a black-and-white sequence. Volume 1 is the first of two Kill Bill films

    Kill Bill: Volume 1

    Kill_Bill:_Volume_1

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SEQUENCE LEARNING

  • Sequence
  • n.

    All five cards, of a hand, in consecutive order as to value, but not necessarily of the same suit; when of one suit, it is called a sequence flush.

  • Sentence
  • v. t.

    To pass or pronounce judgment upon; to doom; to condemn to punishment; to prescribe the punishment of.

  • Sentence
  • v. t.

    To utter sententiously.

  • Sentence
  • v. t.

    To decree or announce as a sentence.

  • Prevenance
  • n.

    A going before; anticipation in sequence or order.

  • Sequence
  • n.

    A hymn introduced in the Mass on certain festival days, and recited or sung immediately before the gospel, and after the gradual or introit, whence the name.

  • Anacoluthic
  • a.

    Lacking grammatical sequence.

  • Sentence
  • n.

    A combination of words which is complete as expressing a thought, and in writing is marked at the close by a period, or full point. See Proposition, 4.

  • Sequence
  • n.

    Simple succession, or the coming after in time, without asserting or implying causative energy; as, the reactions of chemical agents may be conceived as merely invariable sequences.

  • Sequence
  • n.

    Any succession of chords (or harmonic phrase) rising or falling by the regular diatonic degrees in the same scale; a succession of similar harmonic steps.

  • Sequent
  • n.

    That which follows as a result; a sequence.

  • Sequence
  • n.

    A melodic phrase or passage successively repeated one tone higher; a rosalia.

  • Accordingly
  • adv.

    In natural sequence; consequently; so.

  • Anacoluthon
  • n.

    A want of grammatical sequence or coherence in a sentence; an instance of a change of construction in a sentence so that the latter part does not syntactically correspond with the first part.

  • Sentenced
  • imp. & p. p.

    of Sentence

  • Sequence
  • n.

    That which follows or succeeds as an effect; sequel; consequence; result.

  • Sentencing
  • p. pr. & vb. n.

    of Sentence

  • Sequence
  • n.

    The state of being sequent; succession; order of following; arrangement.

  • Sequelae
  • pl.

    of Sequela

  • Sequence
  • n.

    Three or more cards of the same suit in immediately consecutive order of value; as, ace, king, and queen; or knave, ten, nine, and eight.