329 search results - page 11 / 66 » Learning Compositional Categorization Models |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
The assumptions behind linear classifiers for categorical data are examined and reformulated in the context of the multinomial manifold, the simplex of multinomial models furnishe...
JMLR
2010
13 years 2 months ago
2010
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
FOSSACS
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Coalgebras are categorical presentations of state-based systems. In investigating parallel composition of coalgebras (realizing concurrency), we observe that the same alg...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...
IJCAI
2003
13 years 9 months ago
2003
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...