The Power of Convex Relaxation: Near-Optimal Matrix Completion Emmanuel J. Cand`es† and Terence Tao] † Applied and Computational Mathematics, Caltech, Pasadena, CADepartment of Mathematics, University of Cal

Source URL: statweb.stanford.edu

Guided Self-Organization in Indirectly Encoded and Evolving Topographic Maps In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCONew York, NY: ACM Sebastian Risi

Source URL: eplex.cs.ucf.edu

• Artificial neural networks
• Evolutionary algorithms
• Neuroscience
• Artificial intelligence
• Applied mathematics
• Computational neuroscience
• Evolutionary computation
• Genetic algorithms
• HyperNEAT
• Neuroevolution
• Compositional pattern-producing network
• Self-organizing map

CSL Technical Report SRI-CSL-06-01 • May 23, 2006 Integrating Simplex with DPLL(T ) Bruno Dutertre and Leonardo de Moura This report is based upon work supported by the Defense Advanced Research Projects

Source URL: yices.csl.sri.com

• Theoretical computer science
• Computational complexity theory
• Mathematics
• Electronic design automation
• Formal methods
• Logic in computer science
• NP-complete problems
• Constraint programming
• Satisfiability modulo theories
• Boolean satisfiability problem
• Solver
• Simplex algorithm

arXiv:1502.04623v2 [cs.CV] 20 MayDRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka

Source URL: arxiv.org

• Artificial neural networks
• Artificial intelligence
• Computational neuroscience
• Cybernetics
• Applied mathematics
• Computational statistics
• Deep learning
• Machine learning
• Convolutional neural network
• Feature learning
• Recurrent neural network
• MNIST database

Some computational experiments in number theory Wieb Bosma Mathematisch Instituut Radboud University Nijmegen Nijmegen, the Netherlands

Source URL: www.math.ru.nl

• Abstract algebra
• Algebra
• Mathematics
• Modular arithmetic
• Algebraic number theory
• Quadratic residue
• Covering system
• Prime number
• Reciprocity law
• Cubic reciprocity
• Modulus
• Chinese remainder theorem

Data Structures for Computational Geometry Mashhood Ishaque 21st June, 2007 Computational Geometry Research Group http://www.cs.tufts.edu/research/geometry/

Source URL: www.eecs.tufts.edu

• Mathematics
• Geometry
• Computer science
• Discrete geometry
• Computational geometry
• Theoretical computer science
• Range searching
• Nearest neighbor search
• Voronoi diagram
• Algorithm

arXiv:1411.4555v2 [cs.CV] 20 AprShow and Tell: A Neural Image Caption Generator Oriol Vinyals Google

Source URL: arxiv.org

• Artificial neural networks
• Machine learning
• Applied mathematics
• Computational neuroscience
• Artificial intelligence
• Computational linguistics
• Machine translation
• Deep learning
• Recurrent neural network
• Long short-term memory
• Speech recognition
• Language model

Advances in Computational Mathematics: 161–193  Springer 2006 Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of

Source URL: people.cs.uchicago.edu

An Approach to Amino Acid Sequence Alignment Using a Genetic Algorithm Masato Wayama Katsutoshi Takahashi

Source URL: www.jsbi.org

• Computational phylogenetics
• Genetic algorithms
• Bioinformatics
• Biology
• Applied mathematics
• Sequence alignment
• Multiple sequence alignment
• Genetic operator
• Mutation
• Chromosome
• Crossover
• Similarity measure

Analysis of CNN-based Speech Recognition System using Raw Speech as Input Dimitri Palaz1,2 , Mathew Magimai.-Doss1 , Ronan Collobert3,1 Idiap Research Institute, Martigny, Switzerland Ecole Polytechnique F´ed´erale de

Source URL: ronan.collobert.com

• Artificial neural networks
• Computational neuroscience
• Computational linguistics
• Applied mathematics
• Artificial intelligence
• Mathematics
• Signal processing
• Deep learning
• Convolutional neural network
• Speech recognition
• Acoustic model
• Mel-frequency cepstrum