optimal binary AND/OR decision tree
Determining the optimal feature for two classes Motor-Imagery Brain-Computer Interface (L/R-MI-BCI) systems in different binary classifiers
... and Decision Tree classifiers have strong evidence to violate homogeinety of variance assumption (p-values < ...for Decision tree, LDA and KNN ...for Decision tree, LDA, and ...
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OVA Tree Multiclass Framework for Support Vector Machine
... two optimal trees are implemented to obtain a multiclass ...the tree architecture and the high classification accuracy of SVMs Utilizing this architecture, k-1 SVMs needed to be trained for k class ...This ...
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Optimal Decision Tree Based Multi-class Support Vector Machine
... for binary classification [3], it is not easy to extend binary SVM to multi-class ...of binary SVMs, such as "One-Against-All" (OAA) [25] and "One- versus-One" (OvO) ...
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Advance Probabilistic Binary Decision Tree using SVM
... a binary tree for multi-class SVM, using criteria of natural classification : Homogeneity and Separation, with the aim of obtaining optimal ...
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Margin Trees for High-dimensional Classification
... a binary decision tree in a top-down manner, using the optimal margin classifier at each ...“margin tree” to the closely related “all-pairs” (one versus one) support vector machine, and ...
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Advanced Probabilistic Binary Decision Tree Using SVM for large class problem
... a decision tree architecture with a probabilistic output of SVM takes much less computation for deciding that in which class unknown sample is ...combines Binary Decision Tree and SVM ...
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A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems
... In this paper, we consider a distributed pump system as presented in Figure 1 and extend our previous work [6]. Our previous work only considers controllers connected in the chain topology which cannot be applied to ...
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Adding Relations in Multi-levels to an Organization Structure of a Complete Binary Tree Maximizing Total Shortening Path Length
... rooted tree, if we let nodes and edges in the rooted tree correspond to members and relations between mem- bers in the organization respectively [3, ...rooted tree is equivalent to the route of ...
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A New Decision Tree for Recognition of Persian Handwritten Characters
... ABSTRACT In this paper a binary decision tree, based on Neural Networks, Support Vector Machine and K-Nearest Neighbor is employed and presented for recognition of Persian handwritten is[r] ...
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GLOBAL JOURNAL OF ADVANCED ENGINEERING TECHNOLOGIES AND SCIENCES RECOGNITION OF PERSIAN HANDWRITTEN NUMBERS BASED ON ASSEMBLY OF REINFORCED CLASSIFIERS Hamid Parvin*, Seyed Ahad Zolfagharifar, Faramarz Karamizadeh
... classifier decision trees, neural networks and 3 nearest neighbor has been ...of decision tree classifier in the proposed classifiers has created the most ...the decision tree base ...
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Cardiac Biometric Identification using Phonocardiogram Signals by Binary Decision Tree based SVM
... ABSTRACT Analyzing Phonocardiogram signals for Automatic Identification system by Binary Decision Tree based Support Vector Machine is a new approach in the research and this paper exami[r] ...
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A Study of Non Linear Data Structure: Red Black Tree
... Trees are the non-linear data structure. Trees represent the hierarchical data. Trees have the nodes and edges where nodes are connected with each other through edges. The topmost node called as root node. The immediate ...
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UNIT III Tree Data Structure
... In the array approach, the nodes are stored in an array and are not linked by references. The position of the node in the array corresponds to its position in the tree. The node at index 0 is the root, the node at ...
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A comparison of artificial neural network and decision tree for profitability in technology sector
... Artificial neural network is a computer-based system which is modeling and matching output and input sets. On the basis of artificial neural network are neurons. Neurons are connected to each other with updatable ...
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Week08 - Tree.pptx
... non-leaf node in a binary tree has non-empty left and right sub trees. A strictly binary tree with n level always contains[r] ...
41
Bezier curve and decision tree modelling for facial expression analysis
... the decision tree based system for subset of expressions is satisfactory and reaches 80% but average testing recognition rate is 75% for all principal emotions namely Happy, Sad and Normal showing need of ...
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On efficient parallel computations for some dynamic programming problems
... Corollary 1.3 The cost of the optimal binary search tree can be computed in log2n time using On6llogn processors... Observe that in the last three examples not only is the minimum cost o[r] ...
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Enhanced Expectation–Maximization Clustering through Gaussian Mixture Models
... unsupervised decision tree. Binary cuckoo search based decision tree is adopted with Expectation–Maximization (EM) Clustering through Gaussian Mixture Models (GMM) to improve ...
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Cryptographic Techniques using Binary Tree and Tree Traversal
... Step 4: Divide each word into 2 equal parts according to the numbers given in step 3. Lesser than or equal to numbers will go to left side and greater elements will go to right hand side just like binary search ...
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A study on Binary Tree
... The process of deleting an element is called deletion. Deletion can be performed on any node i.e. internal node or external node. Consider a binary search tree T. Suppose an ITEM of information to be ...
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