21 search results - page 4 / 5 » Max-Margin Min-Entropy Models |
107
click to vote
JMLR
2010
14 years 6 months ago
2010
Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and the limited computational resources for inference i...
ICML
2007
IEEE
16 years 15 days ago
2007
IEEE
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
111
click to vote
EMNLP
2007
15 years 1 months ago
2007
In this paper, we study the problem of automatically segmenting written text into paragraphs. This is inherently a sequence labeling problem, however, previous approaches ignore t...
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
103
click to vote
KDD
2009
ACM
15 years 6 months ago
2009
ACM
Max-margin Markov networks (M3 N) have shown great promise in structured prediction and relational learning. Due to the KKT conditions, the M3 N enjoys dual sparsity. However, the...