539 search results - page 74 / 108 » Learning Monotonic Linear Functions |
NIPS
1998
13 years 11 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
AI
2002
Springer
13 years 10 months ago
2002
Springer
This article surveys three techniques for enhancing heuristic game-tree search pioneered in the author's Othello program Logistello, which dominated the computer Othello scen...
ICIP
2007
IEEE
15 years 1 days ago
2007
IEEE
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
AAAI
2010
13 years 11 months ago
2010
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
NIPS
2008
13 years 11 months ago
2008
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...