2363 search results - page 197 / 473 » Learning Algorithms for Domain Adaptation |
131
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TNN
1998
15 years 2 months ago
1998
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
105
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COCOON
2005
Springer
15 years 8 months ago
2005
Springer
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...
164
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ECAI
2004
Springer
15 years 8 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
151
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METMBS
2003
15 years 4 months ago
2003
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
111
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IPPS
2007
IEEE
15 years 9 months ago
2007
IEEE
The integration of multiple predictors promises higher prediction accuracy than the accuracy that can be obtained with a single predictor. The challenge is how to select the best ...