141 search results - page 5 / 29 » Unsupervised Classifier Selection Based on Two-Sample Test |
EMNLP
2007
14 years 11 months ago
2007
Semantic inference is a core component of many natural language applications. In response, several researchers have developed algorithms for automatically learning inference rules...
KDD
2000
ACM
15 years 1 months ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
95
Voted
IJCNN
2000
IEEE
15 years 1 months ago
2000
IEEE
This paper presents an unsupervised segmentation method for feature sequences based on competitivelearning hidden Markov models. Models associated with the nodes of the Self-Organ...
79
Voted
ICIP
2001
IEEE
15 years 11 months ago
2001
IEEE
In this paper, we present a framework for clustering and classifying cheque images according to their payee-line content. The features used in the clustering and classificationpro...
113
click to vote
WSDM
2012
ACM
13 years 5 months ago
2012
ACM
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...