Supervised learning

Results: 1557



#Item
681Data mining / Bayesian statistics / Statistical classification / Cluster analysis / Naive Bayes classifier / Supervised learning / Statistics / Machine learning / Data analysis

Untangling Topic Threads in Chat-Based Communication: A Case Study Dr. Sowmya Ramachandran1, Randy Jensen1, Oscar Bascara1, Tamitha Carpenter1, Todd Denning2, Lt Shaun Sucillon3 1

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Source URL: www.stottlerhenke.com

Language: English - Date: 2012-06-08 15:22:28
682Learning / Reasoning / Cognitive science / Machine learning / Inductive reasoning / Analogy / Cyc / Supervised learning / Function / Cognition / Mathematics / Science

Microsoft Word - ijcai-1493-rrv-3.doc

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Source URL: www.qrg.northwestern.edu

Language: English - Date: 2007-09-13 17:15:22
683Artificial intelligence / Multilayer perceptron / Feedforward neural network / Perceptron / Activation function / Overfitting / Principal component analysis / Supervised learning / Early stopping / Neural networks / Statistics / Cybernetics

Implementation of a Neural Network for Retrieving Atmospheric Parameters from Remote Sensing Philippe BARON, Jana MENDROK, and KASAI Yasuko A numerical model of a supervised feedforward Neural Network (NN) has been imple

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Source URL: www.nict.go.jp

Language: English - Date: 2013-11-21 20:06:19
684Supervised learning / Support vector machine / Homophily / Binary classification / Link analysis / Logistic regression / Gain / Statistics / Machine learning / Statistical classification

Human Mobility, Social Ties, and Link Prediction Dashun Wang1,2 Dino Pedreschi1,3 Chaoming Song1,2 Fosca Giannotti1,4 Albert-László Barabási1,2,5 1 CCNR, Dept. of Physics and Computer Science, Northeastern University,

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Source URL: www.barabasilab.com

Language: English - Date: 2011-06-30 14:50:37
685Machine learning / Data analysis / Data mining / KNIME / Weka / RapidMiner / Workflow / Supervised learning / Database / Statistics / Software / Science

Open science in machine learning Joaquin Vanschoren and Mikio L. Braun and Cheng Soon Ong Abstract We present OpenML and mldata, open science platforms that provides easy access to machine learning data, software and res

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Source URL: www.ong-home.my

Language: English - Date: 2014-01-23 03:24:29
686Application software / Bioconductor / Open-source software / Supervised learning / Open source / Open data / Semi-supervised learning / Proprietary software / Data mining / Machine learning / Science / Software

1 Open Science in Machine Learning Mikio L. Braun TU Berlin Cheng Soon Ong National ICT Australia

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Source URL: www.ong-home.my

Language: English - Date: 2013-12-12 02:50:01
687Stochastic gradient descent / Statistics / Differentiable manifold / Riemannian manifold / Supervised learning / Gradient / Mathematical analysis / Mathematics / Stochastic optimization

Journal of Machine Learning Research[removed]–355 Submitted 8/00; Published 9/01 Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms∗

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Source URL: jmlr.csail.mit.edu

Language: English - Date: 2004-08-31 14:06:39
688Stochastic gradient descent / Statistics / Differentiable manifold / Riemannian manifold / Supervised learning / Gradient / Mathematical analysis / Mathematics / Stochastic optimization

Journal of Machine Learning Research[removed]N -N + 45 Submitted 8/00; Published Real Soon Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms∗

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2001-08-30 21:18:58
689Support vector machine / Supervised learning / Sufficient statistic / Bayes estimator / Statistical classification / Bayesian inference / Kullback–Leibler divergence / Mixture model / Statistics / Statistical theory / Machine learning

Bayesian Online Learning for Multi-label and Multi-variate Performance Measures Xinhua Zhang University of Alberta [removed]

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2010-03-31 21:42:25
690Machine learning / Operations research / Information retrieval / Learning to rank / Convex optimization / Supervised learning / Gradient boosting / Lagrange multiplier / BFGS method / Mathematical optimization / Mathematics / Mathematical analysis

IntervalRank — Isotonic Regression with Listwise and Pairwise Constraints ∗ Taesup Moon, Alex Smola , Yi Chang, Zhaohui Zheng Yahoo! Labs

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Source URL: www.yichang-cs.com

Language: English - Date: 2009-11-15 16:54:36
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