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INFOCOM
2009
IEEE
15 years 4 months ago
Minimizing the Cost of Mine Selection Via Sensor Networks
— In this paper, we study sensor enabled landmine networks by formulating a minimum-cost mine selection problem. The problem arises in a target defence scenario, where the object...
Changlei Liu, Guohong Cao
CIDM
2009
IEEE
15 years 4 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
BMCBI
2008
124views more  BMCBI 2008»
14 years 10 months ago
A probe-treatment-reference (PTR) model for the analysis of oligonucleotide expression microarrays
Background: Microarray pre-processing usually consists of normalization and summarization. Normalization aims to remove non-biological variations across different arrays. The norm...
Huanying Ge, Chao Cheng, Lei M. Li
BMCBI
2007
113views more  BMCBI 2007»
14 years 10 months ago
In silico panning for a non-competitive peptide inhibitor
Background: Peptide ligands have tremendous therapeutic potential as efficacious drugs. Currently, more than 40 peptides are available in the market for a drug. However, since cos...
Yukiko Yagi, Kotaro Terada, Takahisa Noma, Kazunor...
ICML
2005
IEEE
15 years 10 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore