238 search results - page 19 / 48 » Separating Models of Learning from Correlated and Uncorrelat... |
ACL
2008
13 years 10 months ago
2008
Previous studies of data-driven dependency parsing have shown that the distribution of parsing errors are correlated with theoretical properties of the models used for learning an...
IPMI
2011
Springer
13 years 6 days ago
2011
Springer
In this paper we construct an atlas that captures functional characteristics of a cognitive process from a population of individuals. The functional connectivity is encoded in a lo...
ICRA
2008
IEEE
14 years 3 months ago
2008
IEEE
— In this paper, we present an approach allowing a robot to learn a generative model of its own physical body from scratch using self-perception with a single monocular camera. O...
CORR
2008
Springer
13 years 9 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
KDD
2012
ACM
11 years 11 months ago
2012
ACM
Interdisciplinary collaborations have generated huge impact to society. However, it is often hard for researchers to establish such cross-domain collaborations. What are the patte...