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203
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IJCAI
2001
15 years 8 months ago
2001
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
188
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IJCAI
2003
15 years 8 months ago
2003
In this paper we propose a methodology to learn to extract domain-specific information from large repositories (e.g. the Web) with minimum user intervention. Learning is seeded b...
165
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IJCAI
1997
15 years 8 months ago
1997
When dealing with narrative texts, a system must possess a strong domain theory, and especially knowledge about situations occurring in the world. Otherwise the system must envisa...
178
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ISMB
1993
15 years 7 months ago
1993
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
183
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NIPS
1993
15 years 7 months ago
1993
We propose a learning algorithm for a variable memory length Markov process. Human communication, whether given as text, handwriting, or speech, has multi characteristic time scal...