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SEAL
2010
Springer
13 years 7 months ago
Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
Rupesh Kumar Srivastava, Kalyanmoy Deb
WSOM
2009
Springer
14 years 3 months ago
Visualization by Linear Projections as Information Retrieval
Abstract. We apply a recent formalization of visualization as information retrieval to linear projections. We introduce a method that optimizes a linear projection for an informati...
Jaakko Peltonen
IAT
2006
IEEE
14 years 3 months ago
Resolution-Based Policy Search for Imperfect Information Differential Games
Differential games (DGs), considered as a typical model of game with continuous states and non-linear dynamics, play an important role in control and optimization. Finding optimal...
Minh Nguyen-Duc, Brahim Chaib-draa
AAAI
2000
13 years 10 months ago
Gridworlds as Testbeds for Planning with Incomplete Information
Gridworlds are popular testbeds for planning with incomplete information but not much is known about their properties. We study a fundamental planning problem, localization, to in...
Craig A. Tovey, Sven Koenig
JIIS
2006
73views more  JIIS 2006»
13 years 9 months ago
Using KCCA for Japanese-English cross-language information retrieval and document classification
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Yaoyong Li, John Shawe-Taylor