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» Kernel Andorra Prolog and its Computation Model
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KDD
2004
ACM
181views Data Mining» more  KDD 2004»
14 years 7 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
NN
2007
Springer
13 years 6 months ago
Edge of chaos and prediction of computational performance for neural circuit models
We analyze in this article the signiļ¬cance of the edge of chaos for real-time computations in neural microcircuit models consisting of spiking neurons and dynamic synapses. We ļ...
Robert A. Legenstein, Wolfgang Maass
ICPP
2009
IEEE
14 years 2 months ago
Perfomance Models for Blocked Sparse Matrix-Vector Multiplication Kernels
ā€”Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architec...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...
RTCSA
2006
IEEE
14 years 1 months ago
Predictable Interrupt Scheduling with Low Overhead for Real-Time Kernels
In this paper we analyze the traditional model of interrupt management and its inability to incorporate the reliability and temporal predictability demanded by real-time systems. ...
Luis E. Leyva-del-Foyo, Pedro Mejía-Alvarez...
NIPS
1998
13 years 8 months ago
Dynamically Adapting Kernels in Support Vector Machines
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
Nello Cristianini, Colin Campbell, John Shawe-Tayl...