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AAAI
2006
15 years 7 months ago
On Combining Multiple Classifiers Using an Evidential Approach
Combining multiple classifiers via combining schemes or meta-learners has led to substantial improvements in many classification problems. One of the challenging tasks is to choos...
Yaxin Bi, Sally I. McClean, Terry J. Anderson
ICONIP
2004
15 years 7 months ago
Generalization in Learning Multiple Temporal Patterns Using RNNPB
Abstract. This paper examines the generalization capability in learning multiple temporal patterns by the recurrent neural network with parametric bias (RNNPB). Our simulation expe...
Masato Ito, Jun Tani
WM
2003
15 years 7 months ago
Evaluation of two Strategies for Case-Based Diagnosis handling Multiple Faults
: Case-based diagnosis handling multiple faults is still a challenging task. In this paper we present methods for handling multiple faults, embedded in the standard CBR cycle. The ...
Martin Atzmüller, Joachim Baumeister, Frank P...
PPSC
1997
15 years 7 months ago
Improving Memory-System Performance of Sparse Matrix-Vector Multiplication
Sparse matrix-vector multiplication is an important kernel that often runs inefficiently on superscalar RISC processors. This paper describes techniques that increase instruction-...
Sivan Toledo
GECCO
2008
Springer
15 years 7 months ago
Particle filtering with particle swarm optimization in systems with multiplicative noise
We propose a Particle Filter model that incorporates Particle Swarm Optimization for predicting systems with multiplicative noise. The proposed model employs a conventional multio...
A. D. Klamargias, Konstantinos E. Parsopoulos, Phi...