Sciweavers

34 search results - page 2 / 7
» Triangle-Constraint for Finding More Good Features
Sort
View
BIOINFORMATICS
2006
92views more  BIOINFORMATICS 2006»
13 years 5 months ago
What should be expected from feature selection in small-sample settings
Motivation: High-throughput technologies for rapid measurement of vast numbers of biological variables offer the potential for highly discriminatory diagnosis and prognosis; howev...
Chao Sima, Edward R. Dougherty
BMCBI
2004
96views more  BMCBI 2004»
13 years 5 months ago
Gene finding in novel genomes
Background: Computational gene prediction continues to be an important problem, especially for genomes with little experimental data. Results: I introduce the SNAP gene finder whi...
Ian Korf
ICCCN
2007
IEEE
13 years 5 months ago
Online Selection of Tracking Features using AdaBoost
In this paper, a novel feature selection algorithm for object tracking is proposed. This algorithm performs more robust than the previous works by taking the correlation between f...
Ying-Jia Yeh, Chiou-Ting Hsu
SEMCO
2007
IEEE
13 years 11 months ago
Ontology Evaluation and Ranking using OntoQA
Ontologies form the cornerstone of the Semantic Web and are intended to help researchers to analyze and share knowledge, and as more ontologies are being introduced, it is difficu...
Samir Tartir, I. Budak Arpinar
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
13 years 3 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong