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» Kernels for Global Constraints
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BIBM
2007
IEEE
135views Bioinformatics» more  BIBM 2007»
14 years 2 months ago
Graph Kernel-Based Learning for Gene Function Prediction from Gene Interaction Network
Prediction of gene functions is a major challenge to biologists in the post-genomic era. Interactions between genes and their products compose networks and can be used to infer ge...
Xin Li, Zhu Zhang, Hsinchun Chen, Jiexun Li
IJCAI
2003
13 years 9 months ago
Logic Programs for Consistently Querying Data Integration Systems
We solve the problem of obtaining answers to queries posed to a mediated integration system un­ der the local-as-view paradigm that are consistent wrt to certain global integrity...
Loreto Bravo, Leopoldo E. Bertossi
OL
2011
177views Neural Networks» more  OL 2011»
12 years 10 months ago
Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of proce
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...
Juan P. Ruiz, Ignacio E. Grossmann
ICML
2005
IEEE
14 years 8 months ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...

Publication
262views
15 years 1 days ago
Attribute Multiset Grammars for Global Explanations of Activities
Recognizing multiple interleaved activities in a video requires implicitly partitioning the detections for each activity. Furthermore, constraints between activities are important ...
Dima Damen, David Hogg