نتایج جستجو برای: sequential floating forward selection

تعداد نتایج: 532216  

2011
Satrya Fajri Pratama Azah Kamilah Muda Yun-Huoy Choo Noor Azilah Muda

Handwriting is individualistic. The uniqueness of shape and style of handwriting can be used to identify the significant features in authenticating the author of writing. Acquiring these significant features leads to an important research in Writer Identification domain. This paper is meant to explore the usage of feature selection in Writer Identification. Various filter and wrapper feature se...

2003
Enrique Romero Josep M. Sopena Gorka Navarrete René Alquézar

One of the main drawbacks of Machine Learning systems is the negative effect caused by overtraining. If the points in the dataset are perfectly fitted, the generalization performance is usually bad. We propose to take profit of overtraining, together with Feature Selection, to improve the performance of a learning system. The main idea lies in the hypothesis that when the dataset is as fitted a...

Journal: :BioMedical Engineering OnLine 2005
Dewar D Finlay Chris D Nugent Paul J McCullagh Norman D Black

BACKGROUND In body surface potential mapping, increased spatial sampling is used to allow more accurate detection of a cardiac abnormality. Although diagnostically superior to more conventional electrocardiographic techniques, the perceived complexity of the Body Surface Potential Map (BSPM) acquisition process has prohibited its acceptance in clinical practice. For this reason there is an inte...

Journal: :Computer methods and programs in biomedicine 2014
M. Hariharan Kemal Polat R. Sindhu

Elderly people are commonly affected by Parkinson's disease (PD) which is one of the most common neurodegenerative disorders due to the loss of dopamine-producing brain cells. People with PD's (PWP) may have difficulty in walking, talking or completing other simple tasks. Variety of medications is available to treat PD. Recently, researchers have found that voice signals recorded from the PWP i...

2004
V. C. Chen

In this paper, we introduce the basic concepts of some state-of-the-art classification methods, including independent component analysis (ICA), principal component analysis (PCA), Bayes method, and support vector machine (SVM) or kernel machine. We discuss their function in the classification and evaluate their performance for different applications. 1 STATISTICAL CLASSIFICATION Classification ...

2008
Eero Väyrynen Juhani Toivanen Tapio Seppänen

A study of the automatic discrimination of emotion in three different time windows of speech is presented. A large corpus of acted emotional speech in Finnish was collected in five emotional states: neutral, sadness, joy, anger and tenderness. Automatic emotion discrimination tests were performed in speaker-independent scenarios using kNN classifiers with sequential forwards-backwards floating ...

Journal: :IEEE Transactions on Pattern Analysis and Machine Intelligence 2010

Journal: :Water 2021

The loss of nitrogen and phosphate fertilizers in agricultural runoff is a global environmental problem, attracting worldwide attention. In the last decades, constructed wetland has been increasingly used for mitigating from runoff, while substrate, plants, structure design remain far clearly understood. this paper, optimum substrates plant species were identified by reviewing their treatment c...

Journal: :Games and Economic Behavior 2010

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