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ICPR
2008
IEEE
14 years 1 months ago
Prior-updating ensemble learning for discrete HMM
Ensemble learning is a variational Bayesian method in which an intractable distribution is approximated by a lower-bound. Ensemble learning results in models with better generaliz...
Gyeongyong Heo, Paul D. Gader
ICDT
2010
ACM
211views Database» more  ICDT 2010»
14 years 4 months ago
Probabilistic Data Exchange
The work reported here lays the foundations of data exchange in the presence of probabilistic data. This requires rethinking the very basic concepts of traditional data exchange, ...
Ronald Fagin, Benny Kimelfeld, Phokion Kolaitis
IJCAI
2007
13 years 9 months ago
A Fast Analytical Algorithm for Solving Markov Decision Processes with Real-Valued Resources
Agents often have to construct plans that obey deadlines or, more generally, resource limits for real-valued resources whose consumption can only be characterized by probability d...
Janusz Marecki, Sven Koenig, Milind Tambe
ALT
2004
Springer
13 years 11 months ago
Applications of Regularized Least Squares to Classification Problems
Abstract. We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior ...
Nicolò Cesa-Bianchi
TVCG
1998
127views more  TVCG 1998»
13 years 7 months ago
Dynamic Catmull-Clark Subdivision Surfaces
—Recursive subdivision schemes have been extensively used in computer graphics, computer-aided geometric design, and scientific visualization for modeling smooth surfaces of arbi...
Hong Qin, Chhandomay Mandal, Baba C. Vemuri