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ICML
2002
IEEE
16 years 7 months ago
Is Combining Classifiers Better than Selecting the Best One
We empirically evaluate several state-of-theart methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to se...
Saso Dzeroski, Bernard Zenko
ICCV
2005
IEEE
16 years 8 months ago
Learning Object Categories from Google's Image Search
Current approaches to object category recognition require datasets of training images to be manually prepared, with varying degrees of supervision. We present an approach that can...
Robert Fergus, Fei-Fei Li 0002, Pietro Perona, And...
DATE
1999
IEEE
135views Hardware» more  DATE 1999»
15 years 11 months ago
Combinational Equivalence Checking Using Satisfiability and Recursive Learning
The problem of checking the equivalence of combinational circuits is of key significance in the verification of digital circuits. In recent years, several approaches have been pro...
João P. Marques Silva, Thomas Glass
PVLDB
2008
117views more  PVLDB 2008»
15 years 6 months ago
Learning to extract form labels
In this paper we describe a new approach to extract element labels from Web form interfaces. Having these labels is a requirement for several techniques that attempt to retrieve a...
Hoa Nguyen, Thanh Hoang Nguyen, Juliana Freire
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 10 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...