1172 search results - page 199 / 235 » From Data Distributions to Regularization in Invariant Learn... |
110
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ATAL
2005
Springer
15 years 6 months ago
2005
Springer
The number of web pages available on Internet increases day after day, and consequently finding relevant information becomes more and more a hard task. However, when we consider ...
SIGMOD
2001
ACM
16 years 1 months ago
2001
ACM
In this paper we present a method for automatically segmenting unformatted text records into structured elements. Several useful data sources today are human-generated as continuo...
ECSQARU
2001
Springer
15 years 5 months ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
143
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AAAI
2012
13 years 3 months ago
2012
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
177
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FOCS
2010
IEEE
14 years 11 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...