1106 search results - page 109 / 222 » On regularization algorithms in learning theory |
155
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IEEEIA
2009
15 years 2 months ago
2009
In this paper we propose the CTS (Concious Tutoring System) technology, a biologically plausible cognitive agent based on human brain functions.This agent is capable of learning a...
182
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CORR
2012
Springer
14 years 12 days ago
2012
Springer
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
154
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SIGECOM
2009
ACM
15 years 11 months ago
2009
ACM
The monopolist’s theory of optimal single-item auctions for agents with independent private values can be summarized by two statements. The first is from Myerson [8]: the optim...
133
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STOC
2003
ACM
16 years 5 months ago
2003
ACM
Boosting algorithms are procedures that "boost" low-accuracy weak learning algorithms to achieve arbitrarily high accuracy. Over the past decade boosting has been widely...
133
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ICNC
2005
Springer
15 years 10 months ago
2005
Springer
In this paper, we propose a new machine learning approach based on AFS (Axiomatic Fuzzy Sets) fuzzy logic, in attempt to provide a better model with interpretability. First, we wil...