745 search results - page 71 / 149 » A Preference Model for Structured Supervised Learning Tasks |
IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
PRICAI
2000
Springer
15 years 1 months ago
2000
Springer
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
NIPS
2007
14 years 11 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
IJAIT
2007
14 years 9 months ago
2007
: This work presents an original algorithmic model of some essential features of psychogenetic theory, as was proposed by J.Piaget. Specifically, we modeled some elements of cognit...
HRI
2010
ACM
15 years 2 months ago
2010
ACM
— Assisting humans in their daily lives requires robots to be proficient in manual tasks and effective in communicating states/intentions with human users. This paper advocates ...