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» A statistical approach to rule learning
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BMCBI
2010
143views more  BMCBI 2010»
15 years 6 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
16 years 8 months ago
Automatically Extracting Form Labels
We describe a machine-learning-based approach for extracting attribute labels from Web form interfaces. Having these labels is a requirement for several techniques that attempt to ...
Hoa Nguyen, Eun Yong Kang, Juliana Freire
EMNLP
2008
15 years 8 months ago
Sparse Multi-Scale Grammars for Discriminative Latent Variable Parsing
We present a discriminative, latent variable approach to syntactic parsing in which rules exist at multiple scales of refinement. The model is formally a latent variable CRF gramm...
Slav Petrov, Dan Klein
JCS
2006
91views more  JCS 2006»
15 years 6 months ago
A survey of algebraic properties used in cryptographic protocols
Abstract: Cryptographic protocols are successfully analyzed using formal methods. However, formal approaches usually consider the encryption schemes as black boxes and assume that ...
Véronique Cortier, Stéphanie Delaune...
KDD
2001
ACM
226views Data Mining» more  KDD 2001»
16 years 7 months ago
Mining from open answers in questionnaire data
Surveys are an important part of marketing and customer relationship management, and open answers (i.e., answers to open questions) in particular may contain valuable information ...
Hang Li, Kenji Yamanishi