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» Language Modeling for Determiner Selection
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BMCBI
2004
133views more  BMCBI 2004»
13 years 10 months ago
Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoic...
ML
2010
ACM
127views Machine Learning» more  ML 2010»
13 years 8 months ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
SAS
2007
Springer
125views Formal Methods» more  SAS 2007»
14 years 4 months ago
A Compilation Model for Aspect-Oriented Polymorphically Typed Functional Languages
Introducing aspect orientation to a polymorphically typed functional language strengthens the importance of type-scoped advices; i.e., advices with their effects being harnessed b...
Kung Chen, Shu-Chun Weng, Meng Wang, Siau-Cheng Kh...
COMPSAC
2008
IEEE
14 years 4 months ago
A Component-Based Model and Language for Wireless Sensor Network Applications
Wireless sensor networks are often used by experts in many different fields to gather data pertinent to their work. Although their expertise may not include software engineering, ...
Alan Dearle, Dharini Balasubramaniam, Jonathan Lew...
UAI
2004
13 years 11 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner