9 Result(s)
within
Computer Science
Algorithm Analysis and Problem Complexity
Mathematical Logic and Formal Languages
**n Hua Zhou
Chapter
Conference Paper
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Chapter and Conference Paper
Approximation Stability and Boosting
Stability has been explored to study the performance of learning algorithms in recent years and it has been shown that stability is sufficient for generalization and is sufficient and necessary for consistency...
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Chapter and Conference Paper
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn structures of probabilistic relational...
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Chapter and Conference Paper
Analyzing Co-training Style Algorithms
Co-training is a semi-supervised learning paradigm which trains two learners respectively from two different views and lets the learners label some unlabeled examples for each other. In this paper, we present ...
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Chapter and Conference Paper
Selection of Optimal Technological Innovation Projects Combining Value Engineering with Fuzzy Synthetic Evaluation
Value engineering is introduced into a selection of optimal technological innovation projects. The function and cost factors of a project have been analyzed from the viewpoint of the whole enterprise, and new ...
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Chapter and Conference Paper
Distributional Features for Text Categorization
In previous research of text categorization, a word is usually described by features which express that whether the word appears in the document or how frequently the word appears. Although these features are ...
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Chapter and Conference Paper
Method of Risk Discernment in Technological Innovation Based on Path Graph and Variable Weight Fuzzy Synthetic Evaluation
Risk in technological innovation is one of the important factors that hold enterprises from launching technological innovation. What cause the technological innovation risks is very complicated, and traditiona...
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Chapter and Conference Paper
Exploiting Unlabeled Data in Content-Based Image Retrieval
In this paper, the Ssair (Semi-Supervised Active Image Retrieval) approach, which attempts to exploit unlabeled data to improve the performance of content-based image retrieval (Cbir), is proposed. This approach ...
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Chapter and Conference Paper
Ensembles of Multi-instance Learners
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. Through analyzing two famous multi-instance lear...
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Chapter and Conference Paper
The Application of Visualization and Neural Network Techniques in a Power Transformer Condition Monitoring System
In this paper, visualization and neural network techniques are applied together to a power transformer condition monitoring system. Through visualizing the data from the chromatogram of oil-dissolved gases by ...
