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PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
16 years 24 days ago
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC)
Abstract. We address the problem of joint feature selection in multiple related classification or regression tasks. When doing feature selection with multiple tasks, usually one c...
Paramveer S. Dhillon, Brian Tomasik, Dean P. Foste...
DATE
2006
IEEE
104views Hardware» more  DATE 2006»
16 years 9 days ago
Pre-synthesis optimization of multiplications to improve circuit performance
Conventional high-level synthesis uses the worst case delay to relate all inputs to all outputs of an operation. This is a very conservative approximation of reality, especially i...
Rafael Ruiz-Sautua, María C. Molina, Jos&ea...
SSDBM
2005
IEEE
184views Database» more  SSDBM 2005»
15 years 11 months ago
Optimizing Multiple Top-K Queries over Joins
Advanced Data Mining applications require more and more support from relational database engines. Especially clustering applications in high dimensional features space demand a pr...
Dirk Habich, Wolfgang Lehner, Alexander Hinneburg
AAAI
2004
15 years 7 months ago
Additive versus Multiplicative Clause Weighting for SAT
This paper examines the relative performance of additive and multiplicative clause weighting schemes for propositional satisfiability testing. Starting with one of the most recent...
John Thornton, Duc Nghia Pham, Stuart Bain, Valnir...
ECCV
2004
Springer
16 years 8 months ago
Multiple Classifier System Approach to Model Pruning in Object Recognition
We propose a multiple classifier system approach to object recognition in computer vision. The aim of the approach is to use multiple experts successively to prune the list of cand...
Josef Kittler, Alireza Ahmadyfard