Supervised learning

Results: 1557



#Item
471Decision theory / Econometrics / Loss function / Statistical theory / Support vector machine / Segmentation / Supervised learning / Conditional random field / Statistics / Machine learning / Statistical classification

Structured Output Learning with High Order Loss Functions Daniel Tarlow Department of Computer Science University of Toronto

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Source URL: www.cs.toronto.edu

Language: English - Date: 2012-02-04 17:48:30
472Neural networks / Machine learning / Digital circuits / Encoder / Autoencoder / Derivative / Supervised learning / Differential equation / Function / Mathematics / Mathematical analysis / Functions and mappings

Analyzing the Dynamics of Gated Auto-encoders Graham W. Taylor School of Engineering University of Guelph Guelph, Ontario, Canada N1G2W1

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Source URL: www.uoguelph.ca

Language: English - Date: 2014-12-09 21:21:36
473Artificial intelligence / Cluster analysis / Constrained clustering / Semi-supervised learning / Data mining / Unsupervised learning / Segmentation / Supervised learning / Knowledge discovery / Machine learning / Statistics / Computational statistics

Semi-Supervised Structuring of Complex Data

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Source URL: www.rizoiu.eu

Language: English - Date: 2013-10-04 10:30:16
474Computational linguistics / Econometrics / Bitext word alignment / Machine translation / Estimation theory / Conditional random field / Semi-supervised learning / Named-entity recognition / Expectation–maximization algorithm / Statistics / Machine learning / Science

Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning Mengqiu Wang and Christopher D. Manning Computer Science Department Stanford University Stanford, CAUSA

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Source URL: cs.stanford.edu

Language: English - Date: 2014-03-05 02:07:11
475Neologisms / Collaboration / Information retrieval / Web 2.0 / Tag / Social bookmarking / Supervised learning / Bootstrapping / Machine learning / Information / Social information processing / Statistics

BaggTaming — Learning from Wild and Tame Data Toshihiro Kamishima, Masahiro Hamasaki, and Shotaro Akaho National Institute of Advanced Industrial Science and Technology (AIST), AIST Tsukuba Central 2, Umezono 1–1–1

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Source URL: www.kde.cs.uni-kassel.de

Language: English - Date: 2008-09-08 02:25:37
476K-nearest neighbor algorithm / Supervised learning / Support vector machine / Large margin nearest neighbor / Semidefinite embedding / Statistical classification / Spectral clustering / Positive-definite kernel / Statistics / Machine learning / Artificial intelligence

From Region Similarity to Category Discovery Carolina Galleguillos† Brian McFee† Serge Belongie† Gert Lanckriet‡ † Computer Science and Engineering Department

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Source URL: bmcfee.github.io

Language: English - Date: 2015-03-31 11:15:28
477Artificial intelligence / Cluster analysis / Constrained clustering / Semi-supervised learning / Data mining / Unsupervised learning / Segmentation / Knowledge discovery / Supervised learning / Machine learning / Statistics / Computational statistics

Semi-supervised structuring of complex data

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Source URL: www.rizoiu.eu

Language: English - Date: 2013-10-04 10:30:16
478Econometrics / Decision trees / Ensemble learning / Supervised learning / Regularization / Gradient boosting / Linear regression / Logistic regression / Random forest / Statistics / Regression analysis / Machine learning

Introduction to Boosted Trees Tianqi Chen Oct Outline • Review of key concepts of supervised learning

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Source URL: homes.cs.washington.edu

Language: English - Date: 2015-05-06 23:13:25
479Mathematics / Science / Computational neuroscience / Conditional random field / Theoretical computer science / Perceptron / Chunking / Artificial neuron / Supervised learning / Neural networks / Machine learning / Statistics

Effect of Non-linear Deep Architecture in Sequence Labeling Mengqiu Wang MENGQIU @ CS . STANFORD . EDU Christopher D. Manning MANNING @ CS . STANFORD . EDU

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Source URL: cs.stanford.edu

Language: English - Date: 2013-05-15 05:53:10
480International Conference on Machine Learning / Conference on Neural Information Processing Systems / NICTA / Andrew McCallum / Semi-supervised learning / Shanghai Jiao Tong University / Supervised learning / Australian National University / Kernel methods / Machine learning / Artificial intelligence / Learning

Xinhua Zhang NICTA Endorsed PhD student Australian National University Postal Address (currently visiting): Dept. of Statistics, Purdue Univ. W. Lafayette, IN, USA

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

Language: English - Date: 2009-06-22 04:13:07
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