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ICPR
2004
IEEE
16 years 29 days ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin
ICIAR
2004
Springer
15 years 5 months ago
Learning an Information Theoretic Transform for Object Detection
We present an information theoretic approach for learning a linear dimension reduction transform for object classification. The theoretic guidance of the approach is that the trans...
Jianzhong Fang, Guoping Qiu
ANOR
2007
92views more  ANOR 2007»
14 years 12 months ago
Portfolio selection with probabilistic utility
We present a novel portfolio selection technique, which replaces the traditional maximization of the utility function with a probabilistic approach inspired by statistical physics....
Robert Marschinski, Pietro Rossi, Massimo Tavoni, ...
BMCBI
2007
139views more  BMCBI 2007»
14 years 12 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek
TOIS
2008
145views more  TOIS 2008»
14 years 11 months ago
Classification-aware hidden-web text database selection
Many valuable text databases on the web have non-crawlable contents that are "hidden" behind search interfaces. Metasearchers are helpful tools for searching over multip...
Panagiotis G. Ipeirotis, Luis Gravano