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Tag info: machine learning

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Using the tag machine learning

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Recently tagged machine learning

Causation, Prediction, and Search, Second Ed…(Adaptive Computation and Machine Learning) by Peter Spirtes	cshalizi	causality, causal inference, graphical models, useful philosophy of science, learning theory, prediction, latent variables, philosophy of science, machine learning
Artificial Intelligence: A Modern Approach (2nd Edition) by Stuart Russell	dpru	AI, computer science, artificial intelligence, machine learning
Probabilistic Graphical Models: Principles a…(Adaptive Computation and Machine Learning) by Daphne Koller	mdreid	machine learning, probability
Algebraic Geometry and Statistical Learning…hs on Applied and Computational Mathematics) by Sumio Watanabe	mdreid	show, machine learning, theory
Semi-Supervised Learning (Adaptive Computation and Machine Learning) by Olivier Chapelle	ipublishcentral	MITpress, machine learning, semi-supervised, learning, (SSL), occupies, middle ground, supervised learning, training examples, labeled, unsupervised, label data, Interest, application, domains, unlabeled data, plentiful, images, text, bioinformatics, comprehensive, overview, art, algorithms, taxonomy, benchmark experiments, perspectives, future research, assumptions, smoothness, cluster, low-density, manifold structure, transduction, methods, generative models, graph-based methods, two-step learning, SSL research
Ant Colony Optimization (Bradford Books) by Marco Dorigo	ipublishcentral	mit-press, Ant Colony Optimization, computers, Marco Dorigo, Thomas Stützle, guide, science computer scientists, combinatorial-optimization, ACO algorithms, technique based, ant behavior, translation, metaheuristic, current theoretical findings, routing, assignment, scheduling, subset, machine learning, bioinformatics, bibliographic material, bullet points
Advances in Neural Information Processing Sy…ings of the 2006 Conference (Bradford Books) by Bernhard SchÃ¶lkopf	ipublishcentral	MITpress, Neural Information Processing Systems, (NIPS), conference, flagship meeting, neural computation, machine learning, attendes, physicists, neuroscientists, mathematicians, statisticians, computer scientists, modeling, simulating, building, neural-like, intelligent systems, presentations, interdisciplinary, contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech, signal processing, reinforcement learning, applications, presentation, exceptionally, Vancouver
A Probabilistic Theory of Pattern Recognitio…tochastic Modelling and Applied Probability) by Luc Devroye	mdreid	probability, machine learning, theory
Algorithmic Learning in a Random World by Vladimir Vovk	mdreid	show, research, machine learning, theory
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