نتایج جستجو برای: minimal learning parameters algorithm

تعداد نتایج: 1881512  

2015
Liu Changzheng

In view of the traditional support vector machine (SVM) learning algorithm’s learning parameters is not easy determined in the process of video key frame extraction and the accuracy is low, an independent perturbation variable difference SVM algorithm is used for video key frame extraction. First of all, analyzed the biological mechanism of differential evolution algorithm, put forward an impro...

2006
Riyaz T. Sikora

1. Introduction Many learning and heuristic search algorithms require tuning of parameters to achieve optimum performance. In stationary and deterministic problem domains this is usually achieved through off-line sensitivity analysis. However, this method breaks down in non-stationary and non-deterministic environments, where the optimal set of values for the parameters keep changing over time....

2010
Ingo Feinerer Alexandros Karatzoglou

SVM are an established tool in machine learning and data analysis. Though many implementations of SVM exist often specific applications require tailor made algorithms. In text mining in particular the data often comes in large sparse data matrices. Typical SVM algorithms like SMO do not take advantage of the sparsity, and do not scale well to data sets with millions of entries. In this paper we...

Journal: :RITA 2015
Junior Silva Souza Hemerson Pistori Marney Pascoli Cereda Wesley Nunes Gonçalves Valguima Odakura

This article presents a proposal to automate the classification of viability for yeast Saccharomyces cerevisiae species, responsible for the commercial production of ethanol, using as attribute the color absorbed by vital dye methylene blue. The methodology is used widely in the Brazilians distilleries and consist in count the colorless cells that are considered feasible, separate them from col...

2012
Martin Leucker Daniel Neider

A prominent learning algorithm is Angluin’s L∗ algorithm, which allows to learn a minimal deterministic automaton using so-called membership and equivalence queries addressed to a teacher. In many applications, however, a teacher might be unable to answer some of the membership queries because parts of the object to learn are not completely specified, not observable, it is too expensive to reso...

Journal: :AMIA ... Annual Symposium proceedings. AMIA Symposium 2015
Laritza Rodriguez Dina Demner-Fushman

With regular expressions and manual review, 18,342 FDA-approved drug product labels were processed to determine if the five standard pregnancy drug risk categories were mentioned in the label. After excluding 81 drugs with multiple-risk categories, 83% of the labels had a risk category within the text and 17% labels did not. We trained a Sequential Minimal Optimization algorithm on the labels c...

 Numerous problems in engineering and science can be converted into optimization problems. Artificial bee colony (ABC) algorithm is a newly developed stochastic optimization algorithm and has been widely used in many areas. However, due to the stochastic characteristics of its solution search equation, the traditional ABC algorithm often suffers from poor exploitation. Aiming at this weakness o...

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