963 search results - page 26 / 193 » Active Learning by Labeling Features |
123
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
116
Voted
CVPR
2003
IEEE
16 years 4 months ago
2003
IEEE
The performance of image retrieval with SVM active learning is known to be poor when started with few labelled images only. In this paper, the problem is solved by incorporating t...
132
Voted
ICML
2004
IEEE
15 years 8 months ago
2004
IEEE
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
140
Voted
CIVR
2006
Springer
15 years 6 months ago
2006
Springer
Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
126
Voted
ACL
2012
13 years 5 months ago
2012
Temporal reasoners for document understanding typically assume that a document’s creation date is known. Algorithms to ground relative time expressions and order events often re...