Results 241 to 250 of about 12,148 (269)

Decision tree usage for incremental parametric speech synthesis

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
Human speakers plan and deliver their utterances incrementally, piece-by-piece, and it is obvious that their choice regarding phonetic details (and the details' peculiarities) is rarely determined by globally optimal solutions. In contrast, parametric speech synthesizers use a full-utterance context when optimizing vocoding parameters and when ...
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CONSOLIDATING A HEURISTIC FOR INCREMENTAL DECISION TREE LEARNING THROUGH ASYMPTOTIC ANALYSIS

International Journal on Artificial Intelligence Tools, 2011
This paper addresses stability issues in incremental induction of decision trees. Stability problems arise when an induction algorithm must revise a decision tree very often and oscillations between similar concepts decrease learning speed. We review a heuristic that solves this problem and subsequently employ asymptotic analysis to approximate the ...
Athanasios Papagelis, Yannis C. Stamatiou, Dimitris Kalles   +2 more
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Sample selection based on multiple incremental decision trees in BSP programming library

2012 International Conference on Machine Learning and Cybernetics, 2012
The sample selection is a key in the active learning, because it intends to select the best informative sample which has no label from the pool or online. And then the selected sample needs to be added into the training sets for updating the classifier.
Xue-Zheng Wang, Jianjian Wang, Yi Wang, Shuo Wang   +3 more
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Safety Content Filtering Based on Incremental Induction of Decision Trees

2012 Sixth International Conference on Internet Computing for Science and Engineering, 2012
This paper presents a novel method of safety content filtering exploiting incremental induction of decision trees. Via defining an appropriate attribute space, this approach adapts the security content filtering task to online incremental induction of decision trees learning framework.
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Adaptive Board-Level Functional Fault Diagnosis Using Incremental Decision Trees

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2016
Board-level functional fault diagnosis is needed for high-volume production to improve product yield. However, to ensure diagnosis accuracy and effective board repair, a large number of syndromes must be used. Therefore, the diagnosis cost can be prohibitively high due to the increase in diagnosis time and the complexity of test execution and analysis.
Zhaobo Zhang, Xinli Gu, Krishnendu Chakrabarty, Fangming Ye   +3 more
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Incrementally Optimized Decision Tree for Mining Imperfect Data Streams

2012
The Very Fast Decision Tree (VFDT) is one of the most important classification algorithms for real-time data stream mining. However, imperfections in data streams, such as noise and imbalanced class distribution, do exist in real world applications and they jeopardize the performance of VFDT.
Hang Yang, Simon Fong
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An Incremental and Interactive Decision Tree Learning Algorithm for a Practical Diagnostic Supporting Workbench

2008 Fourth International Conference on Networked Computing and Advanced Information Management, 2008
This paper proposed a diagnostic supporting tool - i+DiaKAW (intelligent and interactive knowledge acquisition workbench), which automatically extracts useful knowledge from massive medical data by applying various data mining techniques for supporting real medical diagnosis.
Yiping Li, Fai Wong, Sam Chao
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Incremental Fuzzy Decision Tree-Based Network Forensic System

2005
Network forensic plays an important role in the modern network environment for computer security, but it has become a time-consuming and daunting task due to the sheer amount of data involved. This paper proposes a new method for constructing incremental fuzzy decision trees based on network service type to reduce the human intervention and time-cost ...
Dengguo Feng, Zaiqiang Liu
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Incremental Response Modeling Based on Segmentation Approach Using Uplift Decision Trees

2016
Data mining methods have been successfully used in direct marketing to model the behavior of responders. But these response models do not take in account, the behavior of customers who would take an action irrespective of marketing action. Redundant marketing communications sometimes annoy the customer and reduce the brand value of the company ...
Shruti Agrawal, Shishir Shekhar, Sankara Prasad Kondareddy   +2 more
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Incremental possibilistic decision trees in non-specificity approach

Data Science and Knowledge Engineering for Sensing Decision Support, 2018
Zied Elouedi, Mohamed Sofien Boutaib
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