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ICANN
2005
Springer
16 years 4 days ago
The LCCP for Optimizing Kernel Parameters for SVM
Abstract. Tuning hyper-parameters is a necessary step to improve learning algorithm performances. For Support Vector Machine classifiers, adjusting kernel parameters increases dra...
Sabri Boughorbel, Jean-Philippe Tarel, Nozha Bouje...
HSNMC
2004
Springer
126views Multimedia» more  HSNMC 2004»
15 years 12 months ago
Hybrid Unicast and Multicast Flow Control: A Linear Optimization Approach
— In this paper, we present a solution to the general problem of flow control for both unicast and multicast IP networks. We formulate a convex optimization problem that can be ...
Homayoun Yousefi'zadeh, Fatemeh Fazel, Hamid Jafar...
DEXAW
2003
IEEE
122views Database» more  DEXAW 2003»
15 years 12 months ago
A Framework for Self-Optimizing Grids Using P2P Components
We present the framework of a new grid architecture based on the peer-to-peer and the component paradigms. In our architecture, several peer-to-peer components are loosely coupled...
Florian Schintke, Thorsten Schütt, Alexander ...
ATAL
2003
Springer
15 years 12 months ago
Multiagent diffusion and distributed optimization
Distributed problem solving by a multiagent system represents a promising approach to solving complex computational problems. However, many multiagent systems require certain degr...
Kwok Ching Tsui, Jiming Liu
EGH
2003
Springer
15 years 11 months ago
An optimized soft shadow volume algorithm with real-time performance
In this paper, we present several optimizations to our previously presented soft shadow volume algorithm. Our optimizations include tighter wedges, heavily optimized pixel shader ...
Ulf Assarsson, Michael Dougherty, Michael Mounier,...