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CORR
2011
Springer
127views Education» more  CORR 2011»
14 years 7 months ago
Generalized Boosting Algorithms for Convex Optimization
Boosting is a popular way to derive powerful learners from simpler hypothesis classes. Following previous work (Mason et al., 1999; Friedman, 2000) on general boosting frameworks,...
Alexander Grubb, J. Andrew Bagnell
PKDD
2009
Springer
120views Data Mining» more  PKDD 2009»
15 years 10 months ago
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...
125
Voted
BMCBI
2005
89views more  BMCBI 2005»
15 years 3 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
TOOLS
1999
IEEE
15 years 8 months ago
Optimizations of Eiffel Programs: Smalleiffel, the GNU Eiffel Compiler
The design of the Eiffel language makes it possible to perform global optimizations on Eiffel programs. In this paper, we describe some of the techniques we used in SmallEiffel, T...
Dominique Colnet, Olivier Zendra
138
Voted
JGO
2010
96views more  JGO 2010»
15 years 2 months ago
Duality and optimality conditions for generalized equilibrium problems involving DC functions
We consider a generalized equilibrium problem involving DC functions which is called (GEP). For this problem we establish two new dual formulations based on Toland-Fenchel-Lagrange...
N. Dinh, Jean-Jacques Strodiot, Van Hien Nguyen