Keyword: classification

Found 81 papers in total
An ensemble method using credal decision trees
An ensemble method using credal decision trees
2010,
Supervised classification learning can be considered as an important tool for decision...
A hybrid approach for efficient ensembles
A hybrid approach for efficient ensembles
2010,
An ensemble of classifiers, or a systematic combination of individual classifiers,...
A fixed-center spherical separation algorithm with kernel transformations for classification problems
A fixed-center spherical separation algorithm with kernel transformations for classification problems
2009,
We consider a special case of the optimal separation, via a sphere, of two discrete...
Support vector machine learning with an evolutionary engine
Support vector machine learning with an evolutionary engine
2009,
The paper presents a novel evolutionary technique constructed as an alternative of the...
A two-stage classification procedure for near-infrared spectra based on multi-scale vertical energy wavelet thresholding and SVM-based gradient-recursive feature elimination
A two-stage classification procedure for near-infrared spectra based on multi-scale vertical energy wavelet thresholding and SVM-based gradient-recursive feature elimination
2009,
Near infrared (NIR) spectroscopy has been extensively used in classification problems...
On the selection of the globally optimal prototype subset for nearest‐neighbor classification
On the selection of the globally optimal prototype subset for nearest‐neighbor classification
2007,
The nearest–neighbor classifier has been shown to be a powerful tool for...
Experiments with classification-based scalarizing functions in interactive multiobjective optimization
Experiments with classification-based scalarizing functions in interactive multiobjective optimization
2006,
In multiobjective optimization methods, the multiple conflicting objectives are...
Robust classification and regression using support vector machines
Robust classification and regression using support vector machines
2006,
In this paper, we investigate the theoretical aspects of robust classification and...
K-T.R.A.C.E: A kernel k-means procedure for classification
K-T.R.A.C.E: A kernel k-means procedure for classification
2007,
In a computational context, classification refers to assigning objects to different...
A new approach to classification based on association rule mining
A new approach to classification based on association rule mining
2006,
Classification is one of the key issues in the fields of decision sciences and...
An experimental comparison of some efficient approaches for training support vector machines
An experimental comparison of some efficient approaches for training support vector machines
2004,
Support Vector Machines (SVMs) are one of the most widely used techniques for...
Reformulation of the support set selection problem in the logical analysis of data
Reformulation of the support set selection problem in the logical analysis of data
2007,
The paper is concerned with the problem of binary classification of data records,...
Segmentation into predictable classes
Segmentation into predictable classes
2002,
We describe a strategy for assigning objects into classes based on characteristics...
Comparing classification tree structures: a special case of comparing q-ary relations
Comparing classification tree structures: a special case of comparing q-ary relations
1999,
Comparing q-ary relations on a set Q of elementary objects is one of the most...
A visual, hierarchical approach to implementing rule-based algorithms in classification of discrete, homogeneous objects
A visual, hierarchical approach to implementing rule-based algorithms in classification of discrete, homogeneous objects
2004,
This research examines the graphical approach to implementing an expert system instead...
Exploration of a hybrid feature selection algorithm
Exploration of a hybrid feature selection algorithm
2003,
In the Knowledge Discovery Process, classification algorithms are often used to help...
A potential use of data envelopment analysis for the inverse classification problem
A potential use of data envelopment analysis for the inverse classification problem
2002,
We propose a methodology that uses data envelopment analysis (DEA) for solving the...
A Bayesian framework for the combination of classifier outputs
A Bayesian framework for the combination of classifier outputs
2002,
We explore a Bayesian framework for constructing combinations of classifier outputs,...
An empirical study of design and testing of hybrid evolutionary–neural approach for classification
An empirical study of design and testing of hybrid evolutionary–neural approach for classification
2001,
We propose a hybrid evolutionary–neural approach for binary classification that...
Three-group classification with unequal misclassification costs: A mathematical programming approach
Three-group classification with unequal misclassification costs: A mathematical programming approach
2001,
Mathematical programming approaches to the statistical classification problem have...
Automatic classification of block-shaped parts based on their 2D projections
Automatic classification of block-shaped parts based on their 2D projections
1999,
This paper presents a classification scheme for 3D block-shaped parts. A part is...
Recursive algorithms of time series observations recognition
Recursive algorithms of time series observations recognition
2000,
The paper presents new method for sequential classification of the time series...
Formal methods in pattern recognition: A review
Formal methods in pattern recognition: A review
2000,
There is a lot of excitement with Pattern Recognition methods with high precision,...
Feature minimization within decision trees
Feature minimization within decision trees
1998,
Decision trees for classification can be constructed using mathematical programming....
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