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M-learning
Results: 4382

#	Item
1	One-shot learning of generative speech concepts Brenden M. Lake* Chia-ying Lee* James R. Glass Add to Reading List Source URL: cims.nyu.edu Language: English - Date: 2014-05-02 16:26:56 Artificial intelligence Learning Machine learning Computational linguistics Markov models Hierarchical hidden Markov model Bayesian statistics Speech recognition Hidden Markov model Dynamic time warping Language model Speech perception
2	Estimating the strength of unlabeled information during semi-supervised learning Brenden M. Lake () Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology James L. McClelland (m Add to Reading List Source URL: cims.nyu.edu Language: English - Date: 2011-05-20 18:34:42 Machine learning Semi-supervised learning Labeled data Supervised learning
3	Proceedings of Machine Learning Research, 4th International Conference on Predictive Applications and APIs An Architecture and Domain Specific Language Framework for Repeated Domain-Specific Predictive M Add to Reading List Source URL: proceedings.mlr.press Language: English - Date: 2018-08-30 22:04:11 Software engineering Computing Modeling and simulation Software architecture Software design Domain-specific language Domain-driven design Conceptual model Architectural pattern Scientific modelling Domain-specific modeling Feature engineering
4	One shot learning of simple visual concepts Brenden M. Lake, Ruslan Salakhutdinov, Jason Gross, and Joshua B. Tenenbaum Department of Brain and Cognitive Sciences Massachusetts Institute of Technology Abstract Add to Reading List Source URL: cims.nyu.edu Language: English - Date: 2011-05-20 18:34:57 Languages of East Asia Artificial neural networks Chinese characters Korean language Languages of Asia Artificial intelligence Market research Stroke One-shot learning Deep learning MNIST database Symbol
5	Discovering Structure by Learning Sparse Graphs Brenden M. Lake and Joshua B. Tenenbaum Department of Brain and Cognitive Sciences Massachusetts Institute of Technology {brenden, jbt}@mit.edu Abstract Add to Reading List Source URL: cims.nyu.edu Language: English - Date: 2011-02-04 14:34:11 Machine learning Artificial intelligence Learning Mathematics Sparse approximation Semantic memory Regularization Supervised learning Semantic network Sparse matrix Dense graph
6	Learning-Based Abstractions for Nonlinear Constraint Solving Sumanth Dathathri ∗1 , Nikos Arechiga2 , Sicun Gao3 , and Richard M. Murray1 1 Computing and Mathematical Sciences, California Institute of Technology 2 Add to Reading List Source URL: scungao.github.io Language: English - Date: 2018-09-27 16:37:21 Constraint programming Mathematical optimization Theoretical computer science Statistical classification Artificial intelligence Machine learning Support vector machine Constraint satisfaction problem Constraint satisfaction Decomposition method Constrained optimization Constraint
7	www.sciencemag.org/contentsuppl/DC1 Supplementary Material for Human-level concept learning through probabilistic program induction Brenden M. Lake,* Ruslan Salakhutdinov, Joshua B. Tenenbaum Correspondi Add to Reading List Source URL: cims.nyu.edu Language: English* - Date: 2015-12-11 20:34:43 Interpolation Physics Spline B-spline Work
8	Concept learning as motor program induction: A large-scale empirical study Brenden M. Lake Ruslan Salakhutdinov Joshua B. Tenenbaum Add to Reading List Source URL: cims.nyu.edu Language: English - Date: 2012-05-02 11:49:33 Metaphysics Chinese characters Languages of East Asia Linguistics Calligraphy Korean language Ordering Orthography Stroke order Stroke Concept learning Drawer
9	Thank you for downloading Using Response to Intervention Data to Advance Learning Outcomes Amanda M. VanDerHeyden Add to Reading List Source URL: www.centeril.org Language: English - Date: 2014-01-13 16:17:50