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PAMI
2006
93views more  PAMI 2006»
13 years 8 months ago
Improving Multiclass Pattern Recognition by the Combination of Two Strategies
We present a new method of multiclass classification based on the combination of one-vs-all method and a modification of one-vs-one method. This combination of one-vs-all and one-v...
Nicolás García-Pedrajas, Domingo Ort...
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
13 years 9 months ago
Class-Specific Ensembles for Active Learning
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
Amit Mandvikar, Huan Liu
JMLR
2010
230views more  JMLR 2010»
13 years 2 months ago
Learning Dissimilarities for Categorical Symbols
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 9 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
POPL
2006
ACM
14 years 8 months ago
Fast and loose reasoning is morally correct
Functional programmers often reason about programs as if they were written in a total language, expecting the results to carry over to non-total (partial) languages. We justify su...
Nils Anders Danielsson, John Hughes, Patrik Jansso...