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128
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SSPR
2004
Springer
15 years 10 months ago
Learning from General Label Constraints
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
Tijl De Bie, Johan A. K. Suykens, Bart De Moor
ISCI
1998
83views more  ISCI 1998»
15 years 4 months ago
On Generalization by Neural Networks
We report new results on the corner classification approach to training feedforward neural networks. It is shown that a prescriptive learning procedure where the weights are simp...
Subhash C. Kak
111
Voted
ANLP
2000
86views more  ANLP 2000»
15 years 6 months ago
A Finite State and Data-Oriented Method for Grapheme to Phoneme Conversion
A finite-state method, based on leftmost longestmatch replacement, is presented for segmenting words into graphemes, and for converting graphemes into phonemes. A small set of han...
Gosse Bouma
ECML
2004
Springer
15 years 10 months ago
Learning from Message Pairs for Automatic Email Answering
Abstract. We consider the problem of learning a mapping from question to answer messages. The training data for this problem consist of pairs of messages that have been received an...
Steffen Bickel, Tobias Scheffer
SARA
2005
Springer
15 years 10 months ago
The Cruncher: Automatic Concept Formation Using Minimum Description Length
Abstract. We present The Cruncher, a simple representation framework and algorithm based on minimum description length for automatically forming an ontology of concepts from attrib...
Marc Pickett, Tim Oates