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BMCBI
2011
12 years 11 months ago
In-silico prediction of disorder content using hybrid sequence representation
Background: Intrinsically disordered proteins play important roles in various cellular activities and their prevalence was implicated in a number of human diseases. The knowledge ...
Marcin J. Mizianty, Tuo Zhang, Bin Xue, Yaoqi Zhou...
NCA
2005
IEEE
14 years 1 months ago
Cooperative Mobile Agents to Gather Global Information
Abstract— This paper describes an original approach to writing reactive algorithms on highly dynamic networks. We propose to use randomly mobile agents to gather global informati...
Michel Charpentier, Gérard Padiou, Philippe...
ICPR
2010
IEEE
13 years 6 months ago
Information Theoretic Expectation Maximization Based Gaussian Mixture Modeling for Speaker Verification
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
Sheeraz Memon, Margaret Lech, Namunu Chinthaka Mad...
ACL
2010
13 years 6 months ago
A Study of Information Retrieval Weighting Schemes for Sentiment Analysis
Most sentiment analysis approaches use as baseline a support vector machines (SVM) classifier with binary unigram weights. In this paper, we explore whether more sophisticated fea...
Georgios Paltoglou, Mike Thelwall
IPSN
2004
Springer
14 years 1 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal