Online machine learning

Results: 210



#Item
11Machine learning / Artificial intelligence / Learning / Statistical classification / Massive Online Analysis / K-nearest neighbors algorithm / Ensemble learning / Classifier chains / Multi-label classification / Concept drift / Stochastic gradient descent / Naive Bayes classifier

Data Stream Classification using Random Feature Functions and Novel Method Combinations Jesse Read Albert Bifet

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Source URL: users.ics.aalto.fi

Language: English - Date: 2015-08-21 10:06:56
12Operations research / Numerical analysis / Mathematical analysis / Numerical linear algebra / Applied mathematics / Mathematical optimization / Online machine learning / Sparse approximation / Stochastic programming / Support vector machine

Estimation, Optimization, and Parallelism when Data is Sparse H. Brendan McMahan2 Google, Inc.2 Seattle, WA 98103

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Source URL: stanford.edu

Language: English - Date: 2014-09-05 13:17:03
13Mathematical optimization / Numerical analysis / Mathematical analysis / Convex optimization / Stochastic optimization / Machine learning / Gradient descent / Stochastic gradient descent / Subgradient method / Proximal gradient methods for learning / Perceptron / BroydenFletcherGoldfarbShanno algorithm

Journal of Machine Learning Research2159 Submitted 3/10; Revised 3/11; Published 7/11 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗

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Source URL: www.jmlr.org

Language: English - Date: 2011-07-05 16:26:18
14Machine learning / Artificial intelligence / Learning / Kalman filter / Decision tree learning / Conditional random field / Pattern recognition / Loss function / Semi-supervised learning / Structured prediction / Prediction / Artificial neural network

Learning Online Smooth Predictors for Realtime Camera Planning using Recurrent Decision Trees ˚ Jianhui Chen ˚

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Source URL: www.yisongyue.com

Language: English - Date: 2016-03-21 19:21:46
15Cognitive science / Cognition / Artificial intelligence / Machine learning / Belief revision / Reinforcement learning / Temporal difference learning / Q-learning / Feature selection / Supervised learning / Proto-value functions / Action selection

Evolutionary Feature Evaluation for Online Reinforcement Learning

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Source URL: eldar.mathstat.uoguelph.ca

Language: English - Date: 2016-07-12 12:05:04
16Statistics / Machine learning / Learning / Artificial intelligence / Statistical classification / Data mining / Concept drift / Massive Online Analysis / K-nearest neighbors algorithm / Support vector machine / Stochastic gradient descent / Batch processing

Batch-Incremental vs. Instance-Incremental Learning in Dynamic and Evolving Data Jesse Read1 , Albert Bifet2 , Bernhard Pfahringer2 , Geoff Holmes2 1 Department of Signal Theory and Communications

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Source URL: users.ics.aalto.fi

Language: English - Date: 2012-10-25 03:54:39
17Computing / Concurrent computing / Parallel computing / Software / Massive Online Analysis / Big data / Machine learning / Decision tree / Samoa / Stream processing / Algorithm

Distributed Decision Tree Learning for Mining Big Data Streams Arinto Murdopo Master of Science Thesis

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Source URL: dl.dropboxusercontent.com

Language: English
18Machine learning / Statistical classification / Support vector machine / Cheating in video games / Cheating in online games / PunkBuster / Cheating in poker / Video game bot / Kernel method / Cross-validation / Supervised learning

Behavioral-Based Cheating Detection in Online First Person Shooters using Machine Learning Techniques Hashem Alayed Fotos Frangoudes

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Source URL: eldar.mathstat.uoguelph.ca

Language: English - Date: 2016-07-12 12:05:04
19Multi-label classification / Machine learning / Classifier chains / Massive Online Analysis / Statistical classification / Weka / Classifier

Journal of Machine Learning ResearchSubmitted 5/12; Revised 6/15; Published 2/16 Meka: A Multi-label/Multi-target Extension to Weka Jesse Read

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Source URL: jmlr.org

Language: English - Date: 2016-04-23 16:19:00
20Normal distribution / Program optimization / Algorithm / Online algorithm

A Probabilistic Graphical Model-based Approach for Minimizing Energy Under Performance Constraints Machine learning for systems Nikita Mishra, Harper Zhang , John Lafferty & Henry Hoffmann Department of Computer Science,

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Source URL: people.cs.uchicago.edu

Language: English - Date: 2015-07-12 23:42:34
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