Binary and Multiclass Classification
Information-Theoretic Multiclass Classification Based on Binary Classifiers: On Coding Matrix Design, Reliability and Maximum Number of Classes
... the multiclass classification problem based on the direct assignment of class labels deduced from the training ...each binary classifier and to develop new soft classification rules with the ...
18
Enhancing Confusion Entropy (CEN) for Binary and Multiclass Classification
... general binary case is treated next, focusing on different families of matrices and carrying out the corresponding cross ...the binary setting to compare CEN with MCEN through four real database sets are ...
30
Reduction from Cost-sensitive Multiclass Classification to One-versus-one Binary Classification
... cost-sensitive classification, one-versus-one, meta-learning ...spam classification system only takes the user an extra second to delete the email, while a false-positive prediction can mean a huge loss ...
17
Comparison of Image Classification Techniques: Binary and Multiclass using Convolutional Neural Network and Support Vector Machines
... image classification studied in this paper, it has been observed that SVM gives adequate accuracy for binary classification whereas CNN gives consistent accuracy over binary as well as multi ...
8
Survey on Multiclass Classification Methods
... Figure 1: Example tree for 5-class problem Vural and Dy [20] work on a similar approach of building a binary tree of K − 1 binary classifiers, which they call Divide-By-2 (DB2). The split of classes into ...
9
Measuring Monotonicity in Multiclass Classification
... in multiclass classification Abstract: Machine learning is a field in computer science where the main purpose is to create a method which can make predictions about ...data. Multiclass ...
25
On the Consistency of Multiclass Classification Methods
... considered multiclass generalizations of classification methods based on convex risk minimiza- tion and gave a necessary and sufficient condition for their Bayes ...consistent binary ...
19
Multiclass Cancer Classification by Using Fuzzy Support Vector Machine and Binary Decision Tree With Gene Selection
... BCT-SVM with F test 2 4 2 BCT-SVM with SVM-RFE 2 1 2 selection. F test and SVM-RFE are used as our gene se- lection methods combined with multiclass classification methods. In our experiments, three ...
13
Algorithms for Multiclass Classification and Regularized Regression
... the binary support vector machine (SVM) to multi- class problems are either heuristics or require solving a large dual optimization ...generalized multiclass SVM is proposed called GenSVM. In this method ...
186
Multiclass Classification of Brain Tumor in MR Images
... of multiclass problem ...based classification which solves the multiclass problem of binary classifiers but it will done classification in different regions of brain tumor like edema, ...
11
Multiclass Classification Using Support Vector Machines
... 5.2.2 A W ORKING E XAMPLE We use the glass dataset [15] to illustrate DCSVM at work. This data set contains 6 classes, labeled 1, 2, 3, 5, 6, and 7 (notice there is no label 4). Consequently, 6 ∗ (6 − 1)/2 = 15 ...
111
Cost-sensitive Multiclass Classification Risk Bounds
... Previous work has uncovered sufficient and necessary conditions for the consistency of the resulting procedures. In this paper, we strengthen these results by showing how the 0 − 1 excess loss of a predictor can be upper ...
23
Efficient Decomposition-Based Multiclass and Multilabel Classification
... For multiclass classification, two methods for a faster training phase were shown. First, a general reduction of computational complexity was achieved by exploiting code redundancies in ECOC-based ...
184
SVM Classification in Multiclass Letter Recognition System
... of multiclass classification, we concluded the fact for how it is suited to describe the binary ...in multiclass letter recognition ...
6
Confidence Sets with Expected Sizes for Multiclass Classification
... Related works: The closest learning task to the present work is classification with reject option which is a particular setting in binary classification. Several papers fall within the scope of this ...
28
Multiclass Classification with Cross Entropy-Support Vector Machines
... solves multiclass SVM problem by using Cross Entropy ...solve binary dual Lagrange ...tackle multiclass classification problems in terms of computational time and generalization error using ...
8
A Hybrid Ensemble Method for Multiclass Classification and Outlier Detection
... on multiclass imbalance problems, showed that class imbalance problems have attracted much research focus due to classification difficulty caused by the imbalanced class ...on binary imbalance ...in ...
22
Multiclass Classification of EEG Signal Using a Probabilistic Approach
... of multiclass motor imagery for electroencephalogram (EEG)-based Brain-Computer Interface (BCI) using the Bayesian Spatio Spectral Filter Optimization (BSSFO) ...to binary-class motor imagery ...
6
Multiclass Classification with Multi-Prototype Support Vector Machines
... The type of strategies we have analyzed in earlier sections are very similar to the ones used by SMO (Platt, 1998), modified SMO (Keerthi et al., 1999) and svmlight (Joachims, 1999) algorithms for binary SVM. In ...
34
Multiclass classification of microarray data with repeated measurements: application to cancer
... a binary classification algorithm to cDNA array data with repeated measurements, and classified breast cancer patients into good and poor prog- nosis ...Their classification algorithm consists of the ...
19