2750 search results - page 206 / 550 » The complexity of learning SUBSEQ(A) |
179
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CORR
2008
Springer
15 years 6 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
190
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IDA
2007
Springer
15 years 6 months ago
2007
Springer
We describe an in-depth analysis of spam-filtering performance of a simple Naive Bayes learner and two extended variants. A set of seven mailboxes comprising about 65,000 mails f...
156
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NECO
2006
2006
Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning
15 years 6 months ago
In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimi...
211
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IR
2000
15 years 6 months ago
2000
Domain-specific internet portals are growing in popularity because they gather content from the Web and organize it for easy access, retrieval and search. For example, www.campsear...
183
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BMVC
2010
15 years 4 months ago
2010
The standard approach to multi-modal registration is to apply sophisticated similarity metrics such as mutual information. The disadvantage of these measures, in contrast to simpl...