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» A theory of learning with similarity functions
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JMLR
2010
187views more  JMLR 2010»
14 years 6 months ago
SFO: A Toolbox for Submodular Function Optimization
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
Andreas Krause
BVAI
2007
Springer
15 years 6 months ago
Classification with Positive and Negative Equivalence Constraints: Theory, Computation and Human Experiments
We tested the efficiency of category learning when participants are provided only with pairs of objects, known to belong either to the same class (Positive Equivalence Constraints ...
Rubi Hammer, Tomer Hertz, Shaul Hochstein, Daphna ...
EH
2003
IEEE
100views Hardware» more  EH 2003»
15 years 5 months ago
Learning for Evolutionary Design
This paper describes a technique for evolving similar solutions to similar configuration design problems. Using the configuration design of combination logic circuits as a testb...
Sushil J. Louis
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
15 years 5 months ago
Identifying Simple Discriminatory Gene Vectors with an Information Theory Approach
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
Zheng Yun, Kwoh Chee Keong
BPM
2010
Springer
186views Business» more  BPM 2010»
15 years 26 days ago
How to Implement a Theory of Correctness in the Area of Business Processes and Services
During the previous years, we presented several results concerned with various issues related to the correctness of models for business processes and services (i. e., interorganiza...
Niels Lohmann, Karsten Wolf