716 search results - page 37 / 144 » Optimizing Sorting with Machine Learning Algorithms |
127
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KDD
2005
ACM
16 years 2 months ago
2005
ACM
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
COLT
2005
Springer
15 years 7 months ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
110
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ML
2006
ACM
15 years 1 months ago
2006
ACM
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
In a principal-agent problem, a principal seeks to motivate an agent to take a certain action beneficial to the principal, while spending as little as possible on the reward. This...
ECAI
2004
Springer
15 years 7 months ago
2004
Springer
The purpose of this paper is to show that a well known machine learning technique based on Decision Trees can be effectively used to select the best approach (in terms of efficien...