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ISCAS
2007
IEEE
144views Hardware» more  ISCAS 2007»
15 years 11 months ago
Multiple-Width Bus Partitioning Approach to Datapath Synthesis
—A shared bus is a suitable structure for minimizing the interconnections costs in system synthesis. It has also been shown that the word-length of Functional Units has a great i...
Arash Ahmadi, Mark Zwolinski
IJCNN
2007
IEEE
15 years 11 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
TSMC
2008
132views more  TSMC 2008»
15 years 5 months ago
Ensemble Algorithms in Reinforcement Learning
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
Marco A. Wiering, Hado van Hasselt
AAAI
2010
15 years 7 months ago
Smooth Optimization for Effective Multiple Kernel Learning
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...
SIAMSC
2008
237views more  SIAMSC 2008»
15 years 5 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto