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» Generation of Attributes for Learning Algorithms
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ICML
2010
IEEE
13 years 9 months ago
Non-Local Contrastive Objectives
Pseudo-likelihood and contrastive divergence are two well-known examples of contrastive methods. These algorithms trade off the probability of the correct label with the probabili...
David Vickrey, Cliff Chiung-Yu Lin, Daphne Koller
ACL
2012
11 years 10 months ago
Selective Sharing for Multilingual Dependency Parsing
We present a novel algorithm for multilingual dependency parsing that uses annotations from a diverse set of source languages to parse a new unannotated language. Our motivation i...
Tahira Naseem, Regina Barzilay, Amir Globerson
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
14 years 8 months ago
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
Yi Chen, Wei Wang 0011, Ziyang Liu, Xuemin Lin
DAC
1994
ACM
13 years 12 months ago
Dynamic Search-Space Pruning Techniques in Path Sensitization
A powerful combinational path sensitization engine is required for the efficient implementation of tools for test pattern generation, timing analysis, and delay fault testing. Path...
João P. Marques Silva, Karem A. Sakallah
ICAIL
2003
ACM
14 years 1 months ago
Predicting Outcomes of Case-Based Legal Arguments
In this paper, we introduce IBP, an algorithm that combines g with an abstract domain model and case-based reasoning techniques to predict the outcome of case-based legal argument...
Stefanie Brüninghaus, Kevin D. Ashley