69 search results - page 4 / 14 » Parallel Induction Algorithms for Large Samples |
BMCBI
2010
13 years 7 months ago
2010
Background: In recent years, the demand for computational power in computational biology has increased due to rapidly growing data sets from microarray and other high-throughput t...
ICDAR
2003
IEEE
14 years 28 days ago
2003
IEEE
In this paper we propose a parallel approach for the Kmeans Vector Quantization (VQ) algorithm used in a twostage Hidden Markov Model (HMM)-based system for recognizing handwritte...
TSMC
1998
13 years 7 months ago
1998
— Parallel algorithms are presented for modules of learning automata with the objective of improving their speed of convergence without compromising accuracy. A general procedure...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
PDCN
2004
13 years 9 months ago
2004
It is well-known that the time and memory necessary to create a codebook from large training databases have hindered the vector quantization based systems for real applications. T...