2161 search results - page 195 / 433 » Learning to classify e-mail |
201
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MCS
2000
Springer
15 years 10 months ago
2000
Springer
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
111
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AAAI
2008
15 years 8 months ago
2008
Our research is motivated by the observation that NLP systems frequently mislabel passive voice verb phrases as being in the active voice when there is no auxiliary verb (e.g., &q...
150
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NIPS
2004
15 years 7 months ago
2004
We present a probabilistic approach to learning a Gaussian Process classifier in the presence of unlabeled data. Our approach involves a "null category noise model" (NCN...
141
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NIPS
2004
15 years 7 months ago
2004
We propose a "soft greedy" learning algorithm for building small conjunctions of simple threshold functions, called rays, defined on single real-valued attributes. We al...
166
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ICANN
2007
Springer
16 years 20 days ago
2007
Springer
Topology preserving mappings are great tools for data visualization and inspection in large datasets. This research presents a combination of several topology preserving mapping mo...