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ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
16 years 15 days ago
Hidden Markov Model Based Weighted Likelihood Discriminant for Minimum Error Shape Classification
The goal of this communication is to present a weighted likelihood discriminant for minimum error shape classification. Different from traditional Maximum Likelihood (ML) methods...
Ninad Thakoor, Sungyong Jung, Jean Gao
ITRUST
2005
Springer
16 years 11 days ago
A Probabilistic Trust Model for Handling Inaccurate Reputation Sources
Abstract. This research aims to develop a model of trust and reputation that will ensure good interactions amongst software agents in large scale open systems in particular. The fo...
Jigar Patel, W. T. Luke Teacy, Nicholas R. Jenning...
ACMDIS
2004
ACM
16 years 9 days ago
Privacy risk models for designing privacy-sensitive ubiquitous computing systems
Privacy is a difficult design issue that is becoming increasingly important as we push into ubiquitous computing environments. While there is a fair amount of theoretical work on ...
Jason I. Hong, Jennifer D. Ng, Scott Lederer, Jame...
INFSOF
2007
104views more  INFSOF 2007»
15 years 6 months ago
A state-based approach to integration testing based on UML models
: Correct functioning of object-oriented software depends upon the successful integration of classes. While individual classes may function correctly, several new faults can arise ...
Shaukat Ali, Lionel C. Briand, Muhammad Jaffar-Ur ...
TCBB
2010
80views more  TCBB 2010»
15 years 5 months ago
On the Importance of Comprehensible Classification Models for Protein Function Prediction
—The literature on protein function prediction is currently dominated by works aimed at maximizing predictive accuracy, ignoring the important issues of validation and interpreta...
Alex Alves Freitas, Daniela Wieser, Rolf Apweiler