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ICML
2006
IEEE
16 years 12 days ago
A DC-programming algorithm for kernel selection
We address the problem of learning a kernel for a given supervised learning task. Our approach consists in searching within the convex hull of a prescribed set of basic kernels fo...
Andreas Argyriou, Raphael Hauser, Charles A. Micch...
MP
2007
89views more  MP 2007»
14 years 11 months ago
Globally convergent limited memory bundle method for large-scale nonsmooth optimization
Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable) functions of thousands of variables. In the paper [Haarala, Miettinen, M¨akel¨a,...
Napsu Haarala, Kaisa Miettinen, Marko M. Mäke...
TCAD
1998
107views more  TCAD 1998»
14 years 11 months ago
Optimizing dominant time constant in RC circuits
— Conventional methods for optimal sizing of wires and transistors use linear resistor-capacitor (RC) circuit models and the Elmore delay as a measure of signal delay. If the RC ...
Lieven Vandenberghe, Stephen P. Boyd, Abbas A. El ...
GLOBECOM
2010
IEEE
14 years 9 months ago
Filter-and-Forward Distributed Beamforming for Two-Way Relay Networks with Frequency Selective Channels
Abstract-- A new approach to distributed cooperative beamforming in two-way half-duplex relay networks with frequency selective channels is proposed. In our scheme, two transceiver...
Haihua Chen, Alex B. Gershman, Shahram Shahbazpana...
SIAMJO
2008
212views more  SIAMJO 2008»
14 years 11 months ago
Convergence Rate of an Optimization Algorithm for Minimizing Quadratic Functions with Separable Convex Constraints
A new active set algorithm for minimizing quadratic functions with separable convex constraints is proposed by combining the conjugate gradient method with the projected gradient. ...
Radek Kucera