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ML
2002
ACM
167views Machine Learning» more  ML 2002»
15 years 6 months ago
Linear Programming Boosting via Column Generation
We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...
GC
2004
Springer
16 years 8 days ago
The KGP Model of Agency for Global Computing: Computational Model and Prototype Implementation
Abstract. We present the computational counterpart of the KGP (Knowledge, Goals, Plan) declarative model of agency for Global Computing. In this context, a computational entity is ...
Andrea Bracciali, Neophytos Demetriou, Ulrich Endr...
AI
2002
Springer
15 years 6 months ago
On the computational complexity of assumption-based argumentation for default reasoning
ko et al. have recently proposed an abstract framework for default reasoning. Besides capturing most existing formalisms and proving that their standard semantics all coincide, th...
Yannis Dimopoulos, Bernhard Nebel, Francesca Toni
DLOG
2009
15 years 4 months ago
A Matter of Principles: Towards the Largest DLP Possible
Abstract. Description Logic Programs (DLP) have been described as a description logic (DL) that is in the "expressive intersection" of DL and datalog. This is a very weak...
Markus Krötzsch, Sebastian Rudolph
ISNN
2005
Springer
16 years 11 days ago
One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization
Recently, a mathematical proof is obtained in (Liu, Chiu, Xu, 2004) on the so called one-bit-matching conjecture that all the sources can be separated as long as there is an one-to...
Lei Xu