2512 search results - page 177 / 503 » Learning from Highly Structured Data by Decomposition |
143
click to vote
AAAI
2010
15 years 5 months ago
2010
Modeling human behavior requires vast quantities of accurately labeled training data, but for ubiquitous people-aware applications such data is rarely attainable. Even researchers...
158
click to vote
IPM
2006
15 years 4 months ago
2006
In this paper, we propose a new learning method for extracting bilingual word pairs from parallel corpora in various languages. In cross-language information retrieval, the system...
125
click to vote
ALT
2003
Springer
15 years 7 months ago
2003
Springer
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
143
click to vote
NIPS
2001
15 years 5 months ago
2001
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
188
click to vote
CCECE
2006
IEEE
15 years 10 months ago
2006
IEEE
During recent years there has been an explosive growth of biological data coming from genome projects, proteomics, protein structure determination, and the rapid expansion in digi...