Sciweavers

354 search results - page 24 / 71
» Top-k learning to rank: labeling, ranking and evaluation
Sort
View
CVPR
2011
IEEE
14 years 6 months ago
Image Ranking and Retrieval Based on Multi-Attribute Queries
We propose a novel approach for ranking and retrieval of images based on multi-attribute queries. Existing image retrieval methods train separate classifiers for each word and he...
Behjat Siddiquie, Rogerio Feris, Larry Davis
SIGIR
2002
ACM
14 years 9 months ago
A new family of online algorithms for category ranking
We describe a new family of topic-ranking algorithms for multi-labeled documents. The motivation for the algorithms stems from recent advances in online learning algorithms. The a...
Koby Crammer, Yoram Singer
80
Voted
ICML
2010
IEEE
14 years 10 months ago
On the Consistency of Ranking Algorithms
We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...
John Duchi, Lester W. Mackey, Michael I. Jordan
KDD
2010
ACM
247views Data Mining» more  KDD 2010»
14 years 11 months ago
Active learning for biomedical citation screening
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
Byron C. Wallace, Kevin Small, Carla E. Brodley, T...
72
Voted
ICASSP
2009
IEEE
15 years 4 months ago
Music emotion ranking
Content-based retrieval has emerged as a promising approach to information access. In this paper, we propose an approach to music emotion ranking. Specifically, we rank music in t...
Yi-Hsuan Yang, Homer H. Chen