Machine learning algorithms

Results: 467



#Item
51 Leveraging Algorithms for DATA-POP ALLIANCE Positive Disruption:

Leveraging Algorithms for DATA-POP ALLIANCE Positive Disruption:

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Source URL: datapopalliance.org

Language: English - Date: 2016-08-01 11:42:29
52Using mutual proximity for novelty detection in audio music similarity Arthur Flexer? and Dominik Schnitzer Austrian Research Institute for Artificial Intelligence Freyung 6/6, Vienna, Austria

Using mutual proximity for novelty detection in audio music similarity Arthur Flexer? and Dominik Schnitzer Austrian Research Institute for Artificial Intelligence Freyung 6/6, Vienna, Austria

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Source URL: www.ecmlpkdd2013.org

Language: English - Date: 2013-10-31 16:17:08
53Prediction tasks over nodes and edges in networks require careful effort in engineering features for learning algorithms. Recent research in the broader field of representation learning has led to significant progress in

Prediction tasks over nodes and edges in networks require careful effort in engineering features for learning algorithms. Recent research in the broader field of representation learning has led to significant progress in

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
54IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 19, NO. 9, SEPTEMBERA Simple Algorithm for Nearest Neighbor Search in High Dimensions

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 19, NO. 9, SEPTEMBERA Simple Algorithm for Nearest Neighbor Search in High Dimensions

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Source URL: www.cs.columbia.edu

Language: English - Date: 2005-07-10 17:51:22
55With the advent of massive data sets, statistical learning and information processing techniques are expected to enable unprecedented possibilities for better decision making. However, existing algorithms for mathematica

With the advent of massive data sets, statistical learning and information processing techniques are expected to enable unprecedented possibilities for better decision making. However, existing algorithms for mathematica

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
56Efficiently Encoding Term Co-occurrences in Inverted Indexes Marcus Fontoura∗ Maxim Gurevich

Efficiently Encoding Term Co-occurrences in Inverted Indexes Marcus Fontoura∗ Maxim Gurevich

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Source URL: fontoura.org

Language: English - Date: 2011-08-25 01:43:02
57Metric Learning to Rank  Brian McFee  Department of Computer Science and Engineering, University of California, San Diego, CAUSA Gert Lanckriet

Metric Learning to Rank Brian McFee Department of Computer Science and Engineering, University of California, San Diego, CAUSA Gert Lanckriet

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Source URL: eceweb.ucsd.edu

Language: English - Date: 2015-07-31 19:00:27
58Ensemble Classifier for Combining Stereo Matching Algorithms Aristotle Spyropoulos Philippos Mordohai Stevens Institute of Technology {ASpyropo, Philippos.Mordohai}@stevens.edu

Ensemble Classifier for Combining Stereo Matching Algorithms Aristotle Spyropoulos Philippos Mordohai Stevens Institute of Technology {ASpyropo, Philippos.Mordohai}@stevens.edu

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Source URL: www.cs.stevens.edu

Language: English - Date: 2015-09-23 02:31:26
59Non-linear Metric Learning  Dor Kedem, Stephen Tyree, Kilian Q. Weinberger Dept. of Comp. Sci. & Engi. Washington U. St. Louis, MO 63130

Non-linear Metric Learning Dor Kedem, Stephen Tyree, Kilian Q. Weinberger Dept. of Comp. Sci. & Engi. Washington U. St. Louis, MO 63130

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Source URL: eceweb.ucsd.edu

Language: English - Date: 2015-07-31 19:00:25
60Noname manuscript No. (will be inserted by the editor) Concept Similarity and Related Categories in Information Retrieval using Formal Concept Analysis Frithjof Dau · Jon Ducrou · Peter Eklund

Noname manuscript No. (will be inserted by the editor) Concept Similarity and Related Categories in Information Retrieval using Formal Concept Analysis Frithjof Dau · Jon Ducrou · Peter Eklund

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Source URL: www.dr-dau.net

Language: English - Date: 2016-06-19 12:16:19