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» Finding Relevant Biomolecular Features
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ICML
2004
IEEE
14 years 6 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
BMCBI
2010
151views more  BMCBI 2010»
13 years 5 months ago
Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and gene
Background: Because a priori knowledge about function of G protein-coupled receptors (GPCRs) can provide useful information to pharmaceutical research, the determination of their ...
Zhanchao Li, Xuan Zhou, Zong Dai, Xiaoyong Zou
ECAI
2008
Springer
13 years 7 months ago
Finding Key Bloggers, One Post At A Time
Abstract. User generated content in general, and blogs in particular, form an interesting and relatively little explored domain for mining knowledge. We address the task of blog di...
Wouter Weerkamp, Krisztian Balog, Maarten de Rijke
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 6 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
IWPC
2009
IEEE
14 years 13 days ago
An exploratory study on assessing feature location techniques
This paper presents an exploratory study of ten feature location techniques that use various combinations of textual, dynamic, and static analyses. Unlike previous studies, the ap...
Meghan Revelle, Denys Poshyvanyk