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» Boosting versus Covering
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NIPS
2003
13 years 6 months ago
Boosting versus Covering
We investigate improvements of AdaBoost that can exploit the fact that the weak hypotheses are one-sided, i.e. either all its positive (or negative) predictions are correct. In pa...
Kohei Hatano, Manfred K. Warmuth
STOC
2004
ACM
118views Algorithms» more  STOC 2004»
14 years 5 months ago
Boosted sampling: approximation algorithms for stochastic optimization
Several combinatorial optimization problems choose elements to minimize the total cost of constructing a feasible solution that satisfies requirements of clients. In the STEINER T...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...
FSTTCS
2001
Springer
13 years 9 months ago
Properties of Distributed Timed-Arc Petri Nets
Abstract. In [12] we started a research on a distributed-timed extension of Petri nets where time parameters are associated with tokens and arcs carry constraints that qualify the ...
Mogens Nielsen, Vladimiro Sassone, Jirí Srb...
ICIAP
2007
ACM
14 years 5 months ago
Generalization in Holistic versus Analytic Processing of Faces
The distinction between holistic and analytical (or feature-based) approaches to face recognition is widely held to be an important dimension of face recognition research. Holisti...
Manuele Bicego, Albert Ali Salah, Enrico Grosso, M...
TNN
2010
171views Management» more  TNN 2010»
12 years 11 months ago
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
Juan Carlos Fernández Caballero, Francisco ...