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» The Shortcut Problem - Complexity and Approximation
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KR
2004
Springer
15 years 9 months ago
Breadth-First Heuristic Search
Recent work shows that the memory requirements of bestfirst heuristic search can be reduced substantially by using a divide-and-conquer method of solution reconstruction. We show...
Rong Zhou, Eric A. Hansen
ESANN
2007
15 years 5 months ago
Model Selection for Kernel Probit Regression
Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
Gavin C. Cawley
SDM
2008
SIAM
95views Data Mining» more  SDM 2008»
15 years 5 months ago
Deterministic Latent Variable Models and Their Pitfalls
We derive a number of well known deterministic latent variable models such as PCA, ICA, EPCA, NMF and PLSA as variational EM approximations with point posteriors. We show that the...
Max Welling, Chaitanya Chemudugunta, Nathan Sutter
NIPS
2007
15 years 5 months ago
Variational inference for Markov jump processes
Markov jump processes play an important role in a large number of application domains. However, realistic systems are analytically intractable and they have traditionally been ana...
Manfred Opper, Guido Sanguinetti
ANOR
2002
100views more  ANOR 2002»
15 years 4 months ago
A Limited-Memory Multipoint Symmetric Secant Method for Bound Constrained Optimization
A new algorithm for solving smooth large-scale minimization problems with bound constraints is introduced. The way of dealing with active constraints is similar to the one used in...
Oleg P. Burdakov, José Mario Martíne...