4255 search results - page 250 / 851 » On Learning Boolean Functions |
164
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SIGECOM
2010
ACM
15 years 11 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...
203
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AIPS
2007
15 years 9 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...
188
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CORR
2010
Springer
15 years 6 months ago
2010
Springer
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
195
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TREC
2003
15 years 8 months ago
2003
Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
164
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CORR
2006
Springer
15 years 6 months ago
2006
Springer
Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc. can be processed more e...