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PRL
2008
161views more  PRL 2008»
14 years 11 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar
EUROPAR
2006
Springer
15 years 3 months ago
Hierarchical Model Validation of Symbolic Performance Models of Scientific Kernels
Multi-resolution validation of hierarchical performance models of scientific applications is critical primarily for two reasons. First, the step-by-step validation determines the c...
Sadaf R. Alam, Jeffrey S. Vetter
AAAI
2006
15 years 1 months ago
A Simple and Effective Method for Incorporating Advice into Kernel Methods
We propose a simple mechanism for incorporating advice (prior knowledge), in the form of simple rules, into support-vector methods for both classification and regression. Our appr...
Richard Maclin, Jude W. Shavlik, Trevor Walker, Li...
RTCSA
1995
IEEE
15 years 3 months ago
A timeliness-guaranteed kernel model-DREAM kernel-and implementation techniques
: An essential building-block for construction of future real-time computer systems (RTCS’s) is a timeliness-guaranteed operating system. The first co-author recently formulated ...
K. H. (Kane) Kim, Luiz F. Bacellar, Yuseok Kim, Ch...
NIPS
2001
15 years 1 months ago
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
Roni Khardon, Dan Roth, Rocco A. Servedio