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ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
16 years 2 days ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
ICRA
2007
IEEE
126views Robotics» more  ICRA 2007»
16 years 23 days ago
A formal framework for robot learning and control under model uncertainty
— While the Partially Observable Markov Decision Process (POMDP) provides a formal framework for the problem of robot control under uncertainty, it typically assumes a known and ...
Robin Jaulmes, Joelle Pineau, Doina Precup
BIRTHDAY
2003
Springer
15 years 11 months ago
Extreme Model Checking
One of the central axioms of extreme programming is the disciplined use of regression testing during stepwise software development. Due to recent progress in software model checkin...
Thomas A. Henzinger, Ranjit Jhala, Rupak Majumdar,...
RTSS
1996
IEEE
15 years 10 months ago
Middleware for Distributed Industrial Real-Time Systems on ATM Networks
In this paper we address the problem of middleware design for constructing ATM LAN based distributed industrial plant monitoring and control systems. In particular, we present a re...
Ichiro Mizunuma, Chia Shen, Morikazu Takegaki
NN
2006
Springer
120views Neural Networks» more  NN 2006»
15 years 6 months ago
Computational intelligence in earth sciences and environmental applications: Issues and challenges
This paper introduces a generic theoretical framework for predictive learning, and relates it to data-driven and learning applications in earth and environmental sciences. The iss...
Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dim...