3694 search results - page 375 / 739 » Stochastic complexity in learning |
146
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AAI
2008
15 years 6 months ago
2008
We present a novel hybrid technique for improving the predictive performance of an online Machine Learning system: Combining advantages from both memory based and concept based pr...
189
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CLEIEJ
2008
15 years 6 months ago
2008
This paper presents a learning-based approach to segment postal address blocks where the learning step uses only one pair of images (a sample image and its ideal segmented solutio...
178
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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...
187
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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...
155
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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...