3412 search results - page 417 / 683 » Efficient Reinforcement Learning |
189
click to vote
AAAI
2006
15 years 8 months ago
2006
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
184
click to vote
ACL
1998
15 years 8 months ago
1998
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
249
click to vote
DBWORKSHOPS
1992
15 years 7 months ago
1992
Godin, R. and R. Missaoui, An incremental concept formation approach for learning from databases, Theoretical Computer Science 133 (1994) 3533385. This paper describes a concept f...
182
click to vote
CLEIEJ
2008
15 years 6 months ago
2008
This paper presents a learning-based approach to segment postal address blocks where the learning step uses only one pair of images (a sample image and its ideal segmented solutio...
175
click to vote
CORR
2008
Springer
15 years 6 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...