Results 281 to 290 of about 680,702 (313)
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A Speech Recognizer With Selectable Model Parameters

2005 IEEE International Symposium on Circuits and Systems, 2005
This paper presents the design and simulation results of a hidden Markov model (HMM) based isolated word recognizer IC. The new design can handle any combination of states and mixtures (up to 16 states and 8 mixtures). The speech IC has been verified with 353 test speech data. The recognition accuracy is 93.8% (48-bit) with no truncation and 88.9% with
Wei Han   +3 more
openaire   +1 more source

Parameters selection in predictive online simulation

2016 IEEE 14th International Conference on Industrial Informatics (INDIN), 2016
Industrial applications with reliable predictive features are becoming increasingly important. A tracking simulator is an example of an online simulation system with great capabilities that fills the gap left by other predictive applications. In a tracking simulator, a simulation model is run in parallel with a physical process controlled by the ...
Vyatkin Valeriy   +7 more
openaire   +6 more sources

Parameter selection in particle swarm optimization

1998
This paper first analyzes the impact that inertia weight and maximum velocity have on the performance of the particle swarm optimizer, and then provides guidelines for selecting these two parameters. Analysis of experiments demonstrates the validity of these guidelines.
Yuhui Shi 0001, Russell C. Eberhart
openaire   +1 more source

Alternatives to Parameter Selection for Kernel Methods

2006
In this paper we propose alternative methods to parameter selection techniques in order to build a kernel matrix for classification purposes using Support Vector Machines (SVMs). We describe several methods to build a unique kernel matrix from a collection of kernels built using a wide range of values for the unkown parameters.
Alberto Muñoz   +2 more
openaire   +1 more source

Parameter-free, adaptive clonal selection

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753), 2004
The 'clonal selection' approach to optimization - an abstraction of immune system adaptation, popularized mainly by de Castro and Von Zuben - may have reached something of an impasse. The method requires several parameters that must be tuned, and it normally uses a binary representation that can limit the accuracy of the results.
openaire   +1 more source

Causality-based Feature Selection

ACM Computing Surveys, 2021
Kui Yu, Xianjie Guo, Lin Liu
exaly  

Parameter Selection

2006
Michalewicz, Z.   +2 more
openaire   +1 more source

Part IV--Selection of Treatment: Anatomic Considerations and Criteria: Cancer of the Larynx

Ca-A Cancer Journal for Clinicians, 1962
Chevalier L Jackson, Charles M Norris
exaly  

Feature Selection

ACM Computing Surveys, 2018
Jundong Li   +2 more
exaly  

Universal Patterns of Selection in Cancer and Somatic Tissues

Cell, 2017
Inigo Martincorena   +2 more
exaly  

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