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» On learning with dissimilarity functions
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BMCBI
2005
153views more  BMCBI 2005»
13 years 9 months ago
Learning Statistical Models for Annotating Proteins with Function Information using Biomedical Text
Background: The BioCreative text mining evaluation investigated the application of text mining methods to the task of automatically extracting information from text in biomedical ...
Soumya Ray, Mark Craven
VTS
2006
IEEE
108views Hardware» more  VTS 2006»
14 years 3 months ago
Bridging the Accuracy of Functional and Machine-Learning-Based Mixed-Signal Testing
Abstract— Numerous machine-learning-based test methodologies have been proposed in recent years as a fast alternative to the standard functional testing of mixed-signal/RF integr...
Haralampos-G. D. Stratigopoulos, Yiorgos Makris
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 2 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
ESANN
2007
13 years 10 months ago
Complexity bounds of radial basis functions and multi-objective learning
In the paper, the problem of multi-objective (MOBJ) learning is discussed. The problem of obtaining apparent (effective) complexity measure, which is one of the objectives, is con...
Illya Kokshenev, Antônio de Pádua Bra...
ACL
2006
13 years 10 months ago
Using Machine-Learning to Assign Function Labels to Parser Output for Spanish
Data-driven grammatical function tag assignment has been studied for English using the Penn-II Treebank data. In this paper we address the question of whether such methods can be ...
Grzegorz Chrupala, Josef van Genabith