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#	Item
1	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
2	PeARS: a Peer-to-peer Agent for Reciprocated Search Aurélie Herbelot University of Trento, Centre for Mind/Brain Sciences Palazzo Fedrigotti, Corso BettiniRovereto, Italy Add to Reading List Source URL: gdac.uqam.ca Language: English - Date: 2017-10-04 00:39:30 Algebra Natural language processing Semantics Mathematics Computational linguistics Information science Vector space model Distributional semantics Euclidean vector Information retrieval Language model Internet privacy
3	Towards a common philosophy of explanation for artificial and biological intelligence Jessica A Thompson () International Laboratory for Brain, Music and Sound (BRAMS) Montreal Institute for Learni Add to Reading List Source URL: thompsonj.github.io Language: English - Date: 2018-09-05 18:08:48 Metaphysics Cognitive science Neuroscience Computational neuroscience Cognitive neuroscience Philosophy of science Emergence Mind Neurophilosophy Theory Neural network Occam's razor
4	Why NPO* is not a healthy diet order for hospitalized patients Although we all fast between meals and when we are asleep at night, our tissues and especially our brain needs glucose to provide energy to function properly Add to Reading List Source URL: www.nutritioncareincanada.ca Language: English - Date: 2016-08-09 12:07:35 Biology Medicine Biochemistry Nutrition Hepatology Diabetes Exercise physiology Glycobiology Glucagon Glycogen Glucose Insulin
5	Computational Brain & Behavior:69–89 https://doi.orgs42113Do People Ask Good Questions? Anselm Rothe1 Add to Reading List Source URL: cims.nyu.edu Language: English - Date: 2018-08-03 10:25:35 Learning Education Human behavior Educational psychology Grammar Human communication Question Questionnaire construction Active learning Twenty Questions
6	Brain Rules - Introduction - by John Medina Add to Reading List Source URL: www.brainrules.net Language: English - Date: 2014-04-25 17:40:34 Metaphysics Cognitive science Emergence Computational neuroscience Mind Brain Rules Brain Artificial intelligence Biological naturalism Elbow Room
7	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
8	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
9	BEHAVIORAL AND BRAIN SCIENCES (2017), Page 1 of 72 doi:S0140525X16001837, e253 Building machines that learn and think like people Brenden M. Lake Add to Reading List Source URL: cims.nyu.edu Language: English - Date: 2017-11-12 11:39:08 Computational neuroscience Cognitive science Artificial neural networks Neuroscience Applied mathematics Cybernetics Learning Computational statistics Deep learning Convolutional neural network Neural network Artificial intelligence