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NIPS
1996
14 years 26 days ago
Selective Integration: A Model for Disparity Estimation
Michael S. Gray, Alexandre Pouget, Richard S. Zeme...
NIPS
1996
14 years 26 days ago
Dynamic Features for Visual Speechreading: A Systematic Comparison
Michael S. Gray, Javier R. Movellan, Terrence J. S...
NIPS
1996
14 years 26 days ago
Adaptively Growing Hierarchical Mixtures of Experts
We propose a novelapproach to automaticallygrowing and pruning Hierarchical Mixtures of Experts. The constructive algorithm proposed here enables large hierarchies consisting of s...
Jürgen Fritsch, Michael Finke, Alex Waibel
NIPS
1996
14 years 26 days ago
Continuous Sigmoidal Belief Networks Trained using Slice Sampling
Real-valued random hidden variables can be useful for modelling latent structure that explains correlations among observed variables. I propose a simple unit that adds zero-mean G...
Brendan J. Frey
NIPS
1996
14 years 26 days ago
Support Vector Regression Machines
Harris Drucker, Christopher J. C. Burges, Linda Ka...
NIPS
1996
14 years 26 days ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
NIPS
1996
14 years 26 days ago
Predicting Lifetimes in Dynamically Allocated Memory
Predictions oflifetimesofdynamicallyallocated objects can be used to improve time and space e ciency of dynamic memory management in computer programs. Barrett and Zorn 1993] used...
David A. Cohn, Satinder P. Singh
NIPS
1996
14 years 26 days ago
Improving the Accuracy and Speed of Support Vector Machines
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
Christopher J. C. Burges, Bernhard Schölkopf