Sciweavers

3694 search results - page 43 / 739
» Stochastic complexity in learning
Sort
View
GRAPHICSINTERFACE
2003
13 years 9 months ago
Multi-Resolution Point-Sample Raytracing
We propose a new strategy for raytracing complex scenes without aliasing artifacts. The algorithm intersects anisotropic ray cones with prefiltered surface sample points from a mu...
Michael Wand, Wolfgang Straßer
DAGSTUHL
2006
13 years 9 months ago
Recent Results in Universal and Non-Universal Induction
We present and relate recent results in prediction based on countable classes of either probability (semi-)distributions or base predictors. Learning by Bayes, MDL, and stochastic ...
Jan Poland
JMLR
2008
95views more  JMLR 2008»
13 years 7 months ago
Learning Similarity with Operator-valued Large-margin Classifiers
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
Andreas Maurer
ICML
2006
IEEE
14 years 8 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
AAAI
1996
13 years 9 months ago
A Complexity Analysis of Space-Bounded Learning Algorithms for the Constraint Satisfaction Problem
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
Roberto J. Bayardo Jr., Daniel P. Miranker