Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
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47

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Published By Springer International Publishing

9783319317526, 9783319317533

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Building Compact Lexicons for Cross-Domain SMT by Mining Near-Optimal Pattern Sets

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-31753-3_24 ◽

2016 ◽

pp. 290-303

Author(s):

Pankaj Singh ◽

Ashish Kulkarni ◽

Himanshu Ojha ◽

Vishwajeet Kumar ◽

Ganesh Ramakrishnan

Keyword(s):

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Hash Learning with Convolutional Neural Networks for Semantic Based Image Retrieval

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-31753-3_19 ◽

2016 ◽

pp. 227-238 ◽

Author(s):

Jinma Guo ◽

Shifeng Zhang ◽

Jianmin Li

Keyword(s):

Neural Networks ◽

Image Retrieval ◽

Convolutional Neural Networks

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Effective Local Metric Learning for Water Pipe Assessment

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-31753-3_45 ◽

2016 ◽

pp. 565-577 ◽

Author(s):

Mojgan Ghanavati ◽

Raymond K. Wong ◽

Fang Chen ◽

Yang Wang ◽

Simon Fong

Keyword(s):

Metric Learning ◽

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Bayesian Group Feature Selection for Support Vector Learning Machines

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-31753-3_20 ◽

2016 ◽

pp. 239-252

Author(s):

Changde Du ◽

Changying Du ◽

Shandian Zhe ◽

Ali Luo ◽

Qing He ◽

...

Keyword(s):

Feature Selection ◽

Support Vector ◽

Learning Machines ◽

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Flexible Transfer Learning Framework for Bayesian Optimisation

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-31753-3_9 ◽

2016 ◽

pp. 102-114 ◽

Author(s):

Tinu Theckel Joy ◽

Santu Rana ◽

Sunil Kumar Gupta ◽

Svetha Venkatesh

Keyword(s):

Transfer Learning ◽

Learning Framework

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Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-31753-3_13 ◽

2016 ◽

pp. 152-164 ◽

Author(s):

Cheng Li ◽

Sunil Gupta ◽

Santu Rana ◽

Wei Luo ◽

Svetha Venkatesh ◽

...

Keyword(s):

Multiple Instance Learning ◽

Toxicity Prediction ◽

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Significant Pattern Mining with Confounding Variables

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-31753-3_23 ◽

2016 ◽

pp. 277-289 ◽

Author(s):

Aika Terada ◽

David duVerle ◽

Koji Tsuda

Keyword(s):

Pattern Mining ◽

Significant Pattern ◽

Confounding Variables

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Optimal Training and Efficient Model Selection for Parameterized Large Margin Learning

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-31753-3_5 ◽

2016 ◽

pp. 52-64 ◽

Author(s):

Yuxun Zhou ◽

Jae Yeon Baek ◽

Dan Li ◽

Costas J. Spanos

Keyword(s):

Model Selection ◽

Large Margin ◽

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Predicting Post-operative Visual Acuity for LASIK Surgeries

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-31753-3_39 ◽

2016 ◽

pp. 489-501 ◽

Author(s):

Manish Gupta ◽

Prashant Gupta ◽

Pravin K. Vaddavalli ◽

Asra Fatima

Keyword(s):

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A Fast and Complete Enumeration of Pseudo-Cliques for Large Graphs

Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-319-31753-3_34 ◽

2016 ◽

pp. 423-435 ◽

Author(s):

Hongjie Zhai ◽

Makoto Haraguchi ◽

Yoshiaki Okubo ◽

Etsuji Tomita

Keyword(s):

Large Graphs ◽

Complete Enumeration

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