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» Rule Combination in Inductive Learning
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SIGIR
2003
ACM
15 years 8 months ago
Probabilistic term variant generator for biomedical terms
This paper presents an algorithm to generate possible variants for biomedical terms. The algorithm gives each variant its generation probability representing its plausibility, whi...
Yoshimasa Tsuruoka, Jun-ichi Tsujii
117
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MLDM
2007
Springer
15 years 8 months ago
Selection of Experts for the Design of Multiple Biometric Systems
Abstract. In the biometric field, different experts are combined to improve the system reliability, as in many application the performance attained by individual experts (i.e., d...
Roberto Tronci, Giorgio Giacinto, Fabio Roli
NAACL
2010
15 years 16 days ago
From Baby Steps to Leapfrog: How "Less is More" in Unsupervised Dependency Parsing
We present three approaches for unsupervised grammar induction that are sensitive to data complexity and apply them to Klein and Manning's Dependency Model with Valence. The ...
Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jura...
117
Voted
ICCAD
2000
IEEE
88views Hardware» more  ICCAD 2000»
15 years 7 months ago
Hierarchical Interconnect Circuit Models
The increasing size of integrated systems combined with deep submicron physical modeling details creates an explosion in RLC interconnect modeling complexity of unmanageable propo...
Michael W. Beattie, Satrajit Gupta, Lawrence T. Pi...
CEC
2008
IEEE
15 years 9 months ago
Social learning in Population-based Adaptive Systems
— The subject of the present investigation is Population-based Adaptive Systems (PAS), as implemented in the NEW TIES platform. In many existing PASs two adaptation mechanisms ar...
Evert Haasdijk, Paul Vogt, A. E. Eiben