8970 search results - page 380 / 1794 » Learning to Learn Causal Models |
169
click to vote
ACMACE
2007
ACM
15 years 11 months ago
2007
ACM
Recently a new generation of virtual worlds has emerged in which users are provided with open-ended modelling tools with which they can create and modify world content. The result...
169
click to vote
AAAI
2004
15 years 8 months ago
2004
This paper introduces a hierarchical Markov model that can learn and infer a user's daily movements through the commue model uses multiple levels of abstraction in order to b...
174
click to vote
JETAI
1998
15 years 6 months ago
1998
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
162
click to vote
ACL
2011
14 years 10 months ago
2011
We learn a joint model of sentence extraction and compression for multi-document summarization. Our model scores candidate summaries according to a combined linear model whose fea...
192
click to vote
IJCNN
2000
IEEE
15 years 11 months ago
2000
IEEE
The main aim of this paper is to develop a suitable regression analysis model for describing the relationship between the index efficiency and the parameters of the Rival Penaliz...