Titlebook: Intelligent Information Processing VI; 7th IFIP TC 12 Inter Zhongzhi Shi,David Leake,Sunil Vadera Conference proceedings 2012 IFIP Internat

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Keyword Expansion: A Logical Approacha re-ranking to handle this problem. Experimental results show that our method helps in improving the quality of keyword search and particularly in the cases of keywords with widely-used synonyms or parasynonyms.

evasive

Pander

Conference proceedings 2012 Guilin, China, in October 2012. The 39 revised papers presented together with 5 short papers were carefully reviewed and selected from more than 70 submissions. They are organized in topical sections on machine learning, data mining, automatic reasoning, semantic web, information retrieval, knowled

disparage

Effectively Constructing Reliable Data for Cross-Domain Text Classificationon text classification verify the effectiveness and efficiency of our methods. It is worth to mention that the model trained from the reliable data achieves a significant performance improvement compared with the one trained from the original training data, and our methods outperform all the baseline algorithms.

Admire

Improving Transfer Learning by Introspective Reasonerlearning exploits explicit representations of its own organization and desired behavior to determine when, what, and how to learn in order to improve its own reasoning. According to the transfer learning process we will present the architecture of introspective reasoner for transductive transfer learning.

Gleason-score

Intelligent Inventory Control: Is Bootstrapping Worth Implementing?tically significantly reduced costs of inventory controlled by a RL agent. Our empirical results are based on a variety of problem settings, including demand correlations, demand variances, and cost structures.

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Optimization of Initial Centroids for K-Means Algorithm Based on Small World Networklts are obtained by the proposed algorithm can be relatively stability and efficiency. Therefore, this method can be considered as an effective application in the domain of text documents, especially in using text clustering for topic detection.

dyspareunia

Collar

parasite

Support Vector Machine with Mixture of Kernels for Image Classificationfeature representation method together with the constructed image classifier, SVMMK, can achieve higher classification accuracy than conventional SVM with any single kernels as well as compare favorably with several state-of-the-art approaches.