10054 search results - page 415 / 2011 » On the Complexity of Function Learning |
154
Voted
CCS
2006
ACM
15 years 8 months ago
2006
ACM
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
151
Voted
ECCV
2008
Springer
16 years 6 months ago
2008
Springer
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...
IJNCR
2010
15 years 1 months ago
2010
we present a cognitively inspired mathematical learning framework called Neural Modeling Fields (NMF). We apply it to learning and recognition of situations composed of objects. NM...
135
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SIGECOM
2010
ACM
15 years 9 months ago
2010
ACM
We explore the striking mathematical connections that exist between market scoring rules, cost function based prediction markets, and no-regret learning. We first show that any c...
158
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AIPS
2007
15 years 7 months ago
2007
This paper summarizes research on a new emerging framework for learning to plan using the Markov decision process model (MDP). In this paradigm, two approaches to learning to plan...