Article Deconvolving the Recognition of DNA Shape from Sequence Namiko Abe,1,2 Iris Dror,3,7 Lin Yang,3 Matthew Slattery,8 Tianyin Zhou,3 Harmen J. Bussemaker,9 Remo Rohs,3,4,5,6,* and Richard S. Mann1,2,* 1Department

Source URL: rohslab.cmb.usc.edu

12th International Society for Music Information Retrieval Conference (ISMIRUSING SEQUENCE ALIGNMENT AND VOTING TO IMPROVE OPTICAL MUSIC RECOGNITION FROM MULTIPLE RECOGNIZERS Esben Paul Bugge Kim Lundsteen Junche

Source URL: ismir2011.ismir.net

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Data selection by sequence summarizing neural network in mismatch condition training Zmolikova, K.; Karafiat, M.; Vesely, K.; Delcroix, M.; Watanabe, S.; Burg

Source URL: www.merl.com

• Machine learning
• Artificial neural networks
• Artificial intelligence
• Applied mathematics
• Automatic identification and data capture
• Computer accessibility
• Speech recognition
• Boltzmann machine
• Deep learning

Genome Informatics 13: 163–Folding Pattern Recognition in Proteins Using Spectral Analysis Methods

Source URL: www.jsbi.org

• Bioinformatics
• Biology
• Protein structure
• Computational phylogenetics
• Protein methods
• Structural biology
• Threading
• Multiple sequence alignment
• Sequence alignment
• Protein structure prediction
• Protein superfamily
• Protein folding

Vol. 18 noPages 1374–1381 BIOINFORMATICS Finding motifs in the twilight zone U. Keich ∗ and P. A. Pevzner

Source URL: www.maths.usyd.edu.au

• Bioinformatics
• Applied mathematics
• Multiple sequence alignment
• Pattern recognition
• NC
• Learning
• Expectationmaximization algorithm
• Artificial intelligence
• Planted motif search

The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models Evgeny A. Stepanov Giuseppe Riccardi Ali Orkan Bayer Signals and Interactive Systems Lab Department of Inf

Source URL: www.sensei-conversation.eu

• Computational linguistics
• Natural language processing
• Speech recognition
• Philosophy of language
• Semantics
• Parsing
• Argument
• Word-sense disambiguation
• Typetoken distinction
• N-gram

PRUNING SUBSEQUENCE SEARCH WITH ATTENTION-BASED EMBEDDING Laboratory for the Recognition and Organization of Speech and Audio Colin Raffel () and Daniel P. W. Ellis (), LabROSA, Colum

Source URL: colinraffel.com

• Mathematics
• Dynamic programming
• Dynamic time warping
• Time series analysis
• MIDI
• Embedding
• Sequence

Evolving memory cell structures for sequence learning Justin Bayer, Daan Wierstra, Julian Togelius and J¨ urgen Schmidhuber IDSIA, Galleria 2, 6928 Manno-Lugano, Switzerland {justin, daan, julian, juergen}@idsia.ch

Source URL: people.idsia.ch

• Artificial neural networks
• Machine learning
• Applied mathematics
• Cybernetics
• Long short-term memory
• Recurrent neural network
• Artificial intelligence
• Handwriting recognition
• Feedforward neural network
• Backpropagation through time
• Backpropagation
• Brain

PRUNING SUBSEQUENCE SEARCH WITH ATTENTION-BASED EMBEDDING Colin Raffel and Daniel P. W. Ellis LabROSA Columbia University New York, NY ABSTRACT

Source URL: colinraffel.com

• Artificial intelligence
• Learning
• Machine learning
• Artificial neural networks
• Dynamic programming
• Dynamic time warping
• Time series analysis
• Computational neuroscience
• Deep learning
• Speech recognition
• Word2vec
• Sequence alignment

Accelerating Multimodal Sequence Retrieval with Convolutional Networks Daniel P. W. Ellis LabROSA Columbia University New York, NY 10027

Source URL: colinraffel.com

• Computing
• Dynamic programming
• Search algorithms
• Dynamic time warping
• Time series analysis
• Computational linguistics
• Information science
• Humancomputer interaction
• Speech recognition
• Hash function
• MIDI
• Deep learning