2615 search results - page 358 / 523 » Predictive Hebbian Learning |
169
Voted
ALT
1999
Springer
15 years 7 months ago
1999
Springer
We are concerned with the problem of sequential prediction using a givenhypothesis class of continuously-manyprediction strategies. An e ectiveperformance measure is the minimax re...
124
Voted
FOCS
1995
IEEE
15 years 7 months ago
1995
IEEE
Abstract. Littlestone developed a simple deterministic on-line learning algorithm for learning k-literal disjunctions. This algorithm (called Winnow) keeps one weight for each of t...
154
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ALT
2008
Springer
15 years 5 months ago
2008
Springer
Abstract. We consider the problem of sequence prediction in a probabilistic setting. Let there be given a class C of stochastic processes (probability measures on the set of one-wa...
122
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EMNLP
2008
15 years 5 months ago
2008
We explore a stacked framework for learning to predict dependency structures for natural language sentences. A typical approach in graph-based dependency parsing has been to assum...
162
Voted
NIPS
2008
15 years 5 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...