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187
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JMLR
2010
99views more  JMLR 2010»
15 years 2 months ago
An Efficient Explanation of Individual Classifications using Game Theory
We present a general method for explaining individual predictions of classification models. The method is based on fundamental concepts from coalitional game theory and prediction...
Erik Strumbelj, Igor Kononenko
AAAI
2012
13 years 9 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
194
Voted
ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
15 years 11 months ago
Data Discretization Unification
Data discretization is defined as a process of converting continuous data attribute values into a finite set of intervals with minimal loss of information. In this paper, we prove...
Ruoming Jin, Yuri Breitbart, Chibuike Muoh
158
Voted
TKDE
2008
119views more  TKDE 2008»
15 years 7 months ago
Anonymization by Local Recoding in Data with Attribute Hierarchical Taxonomies
Abstract--Individual privacy will be at risk if a published data set is not properly deidentified. k-Anonymity is a major technique to deidentify a data set. Among a number of k-an...
Jiuyong Li, Raymond Chi-Wing Wong, Ada Wai-Chee Fu...
177
Voted
UC
2009
Springer
16 years 2 months ago
On the Brightness of the Thomson Lamp: A Prolegomenon to Quantum Recursion Theory
Some physical aspects related to the limit operations of the Thomson lamp are discussed. Regardless of the formally unbounded and even infinite number of “steps” involved, the...
Karl Svozil