نتایج جستجو برای: mco_training classifier

تعداد نتایج: 43761  

Journal: :International Journal of Computer Applications 2012

Journal: :Journal of Multivariate Analysis 2016

Journal: :Machine learning: science and technology 2023

Abstract One-class classification (OCC) is a fundamental problem in pattern recognition with wide range of applications. This work presents semi-supervised quantum machine learning algorithm for such problem, which we call variational one-class classifier (VQOCC). The suitable noisy intermediate-scale computing because the VQOCC trains fully-parameterized autoencoder normal dataset and does not...

2004
Gabriel Nicolae Costache Inge Gavat

Along with the aggressive growing of the amount of digital data available (text, audio samples, digital photos and digital movies joined all in the multimedia domain) the need for classification, recognition and retrieval of this kind of data became very important. In this paper will be presented a system structure to handle multimedia data based on a recognition perspective. The main processin...

2006
Chuan-Chih Chou Dragomir Radev

We present a new approach to the classification problem for instances with discrete features, based on Bayesian statistics and explicit assumptions about the smoothness of the data. Combined with an optimizing method based on tailored genetic algorithm, our classifier yields performance which rivals that of the best existing methods for several problems like prepositional phrase attachment disa...

2005
ZhenQiu Zhang Xun Xu Thomas S. Huang

Nearest neighbor classification expects the class conditional probabilities to be locally constant. The assumption becomes invalid in high dimension due to the curse−of−dimensionality. Severe bias can be introduced under this condition when using nearest neighbor rule. We propose an adaptive nearest neighbor classification method ¡°indecisive classifier¡± to minimize bias and variance by avoidi...

Journal: :journal of advances in computer research 2013
mohammad mohammadzade alireza ghonodi

the problem of automatic signature recognition has received little attention incomparison with the problem of signature verification, despite its potentialapplications for many business processes and can be used effectively in paperlessoffice projects. this paper presents model-based off-line signature recognition withrotation invariant features. non-linear rotation of signature patterns is one...

2005
Igor T. Podolak Slawomir Biel Marcin Bobrowski

Artificial Intelligence (AI) methods are used to build classifiers that give different levels of accuracy and solution explication. The intent of this paper is to provide a way of building a hierarchical classifier composed of several artificial neural networks (ANN’s) organised in a tree-like fashion. Such method of construction allows for partition of the original problem into several sub-pro...

2007
Richard Cole

Supervised Machine Learning is an important eld with many immediate applications. As a result, there is an increasing number of public domain tools with a diversity of learning approaches. However, very little work has been done to identify which public domain machine learning tools are \best" and on what kind of data. This research is a comparative study of di erent supervised public domainMac...

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