نتایج جستجو برای: classifier performance

تعداد نتایج: 1079184  

2013
Haitao Xiong Ming Li Tongqiang Jiang Shouxiang Zhao

Class overlapping is thought as one of the toughest problems in data mining because the complex structure of data. The current classification algorithms show little consideration of this problem. So when using this traditional classification algorithms to resolve this problem, classification performance is not good for samples in overlapping region. To meet this critical challenge, in this pape...

2010
Jakkrit TeCho Cholwich Nattee Thanaruk Theeramunkong

A boosting-based ensemble learning can be used to improve classification accuracy by using multiple classification models constructing to cope with errors obtained from preceding steps. This paper presents an application of the boosting-based ensemble learning with penalty setting profiles on automatic unknown word recognition in Thai. Treating a sequential task as a non-sequential problem requ...

2011
Baro Hyun Mariam Faied Pierre T. Kabamba Anouck R. Girard

In this paper, we study the performance of a team of classifiers. First, we propose a performance model for a single classifier based on its confusion matrix and prior information. Building upon this model, we propose a supervisor-aided classifier and analyze the performance in comparison to the single classifier. Second, we consider the performance of a team of two classifiers. Since the decis...

2001

Understanding and following musical improvisations with a computer requires methods different from those needed when following score-based musical performances. This paper discusses questions related to interactive music systems for the recognition and accompaniment of tonal improvisations. This includes discussion about rhythmic parsing and harmonic analysis with a recursive Bayesian classifie...

2013
Shanwei Yan

In this project, I applied machine learning techniques to perform multiclass classification on free agents by using game statistics, which is useful to evaluate players’ performances. To do so, I implemented and compared a collection of supervised and unsupervised learning algorithms on a dataset consisting of 282 free agent samples. No previous work was accessible, and depending on the feature...

Current inversion condition leads to incorrect operation of current based directional relay in power system with series compensated device. Application of the intelligent system for fault direction classification has been suggested in this paper. A new current directional protection scheme based on intelligent classifier is proposed for the series compensated line. The proposed classifier uses ...

2003
N. Belgacem M. A Chikh F. Bereksi Reguig

In this study, two kinds of neural networks are employed to develop a supervised ECG beat classifier. In order to improve the performance of the MLP classifier for application to ECG signal, the performance is compared to an LVQ neural network classifier. The two classifiers are tested with selected ECG time series and experimental results show that the MLP classifier offers a great potential i...

ntroduction: Diagnosing brain tumor is not always easy for doctors, and existence of an assistant that                                                      facilitates the interpretation process is an asset in the clinic. Computer vision techniques are devised to aid the clinic in detecting tumors based on a database of tumor c...

Journal: :environmental resources research 2014
syavash kalbi asghar fallah shaban shataee

forest types mapping, is one of the most necessary elements in the forest management and silviculture treatments. traditional methods such as field surveys are almost time-consuming and cost-intensive. improvements in remote sensing data sources and classification –estimation methods are preparing new opportunities for obtaining more accurate forest biophysical attributes maps. this research co...

Journal: :European Journal of Operational Research 2011
Steven Finlay

Multiple classifier systems combine several individual classifiers to deliver a final classification decision. An increasingly controversial question is whether such systems can outperform the single best classifier and if so, what form of multiple classifier system yields the greatest benefit. In this paper the performance of several multiple classifier systems are evaluated in terms of their ...

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