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NIPS
1996
15 years 6 months ago
Early Stopping-But When?
Abstract. Validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the over ttin...
Lutz Prechelt
SPIESR
1993
125views Database» more  SPIESR 1993»
15 years 6 months ago
Self-Aligning and Compressed Autosophy Video Databases
Autosophy, an emerging new science, explains "Self-assembling Structures", such crystals or living trees, in mathematical terms. This research provides a new mathematica...
Klaus Holtz
UAI
1996
15 years 6 months ago
Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network
We discuss Bayesian methods for learning Bayesian networks when data sets are incomplete. In particular, we examine asymptotic approximations for the marginal likelihood of incomp...
David Maxwell Chickering, David Heckerman
ANLP
1992
89views more  ANLP 1992»
15 years 6 months ago
Computational Lexicons: the Neat Examples and the Odd Exemplars
When implementing computational lexicons it is important to keep in mind the texts that a NLP system must deal with. Words relate to each other in many different, often queer, way...
Roberto Basili, Maria Teresa Pazienza, Paola Velar...
ANLP
1992
86views more  ANLP 1992»
15 years 6 months ago
A Simple Rule-Based Part of Speech Tagger
Automatic part of speech tagging is an area of natural language processing where statistical techniques have been more successful than rule-based methods. In this paper, we presen...
Eric Brill
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