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Study on The Property of Training Samples and Learning Space with Genetic Algorithms

Study on The Property of Training Samples and Learning Space...

ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing (SNPD)

作者： Jingsong He Jian Tang QianSheng Fang MOE-Microsoft Key Laboratory of Multimedia Computing and Communication Department of Electronic Science and Technology University of Science and Technology China Anhui Institute of Architecture and Industry China

Historically, the empirical risk of a pattern classifier was asked to be made zero, therefor the default property of training samples were limited to a separable ones. Nowadays on the contrary, the major idea of learning classification no longer ask the empirical risk of classifier must be made zero. In this situation, inseparable feature sets may not be detrimental to the performance of classifier. However, so far no experimental studies and analytical results show whether an inseparable feature set is available or not. This paper firstly analyzes the interaction between learning algorithms and feature selection, and gives a proof by both the analytical analysis and experimental studies.

关键词： Genetic algorithms Industrial training Space technology Risk analysis Algorithm design and analysis Law Legal factors Classification tree analysis Software engineering Artificial intelligence

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ParzenWindows Estimation Using Laplace Kernel: A Novel Parametric Analysis with Information Content

ParzenWindows Estimation Using Laplace Kernel: A Novel Param...

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ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed computing (SNPD)

作者： Jingsong He Jian Tang QianSheng Fang MOE-Microsoft Key Laboratory of Multimedia Computing and Communication China Department of Electronic Science and Technology University of Science and Technology China Anhui Institute of Architecture and Industry China

Parzen windows estimation is one of the classical non- parametric methods in the field of machine learning and pattern classification, and usually uses Gaussian density function as the kernel. Although the relation between the kernel density estimation (KDE) and low-pass filtering is well known, it is vary difficult to setting the parameters of the other kinds of density functions. This paper proposes a novel method to deal with the parameters of Laplace kernel through measuring the degree of exchanged information among interpolating points. Experimental results showed that the proposed method can improve the performance of Parzen windows significantly.

关键词： Kernel Information analysis Density functional theory Low pass filters Machine learning Frequency estimation Cutoff frequency Bandwidth Artificial intelligence Pattern classification

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Segregated feedback with performance-based adaptive sampling for interactive news video retrieval

Segregated feedback with performance-based adaptive sampling...

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15th ACM International Conference on Multimedia, MM'07

作者： Luan, Huan-Bo Neo, Shi-Yong Goh, Hai-Kiat Zhang, Yong-Dong Lin, Shou-Xun Chua, Tat-Seng Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Department of Computer Science National University of Singapore Singapore 117543 Singapore Key Laboratory of Intelligent Information Processing ICT CAS Beijing 100080 China Graduate School Chinese Academy of Sciences Beijing 100039 China

ISBN: (纸本)9781595937025

Existing video research incorporates the use of relevance feedback based on user-dependent interpretations to improve the retrieval results. In this paper, we segregate the process of relevance feedback into 2 distinct facets: (a) recall-directed feedback;and (b) precision-directed feedback. The recall-directed facet employs general features such as text and high level features (HLFs) to maximize efficiency and recall during feedback, making it very suitable for large corpuses. The precision-directed facet on the other hand uses many other multimodal features in an active learning environment for improved accuracy. Combined with a performance-based adaptive sampling strategy, this process continuously re-ranks a subset of instances as the user annotates. Experiments done using TRECVID 2006 dataset show that our approach is efficient and effective. Copyright 2007 ACM.

关键词： Video streaming

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Loop fusion conscious inline model

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Jisuanji Yanjiu yu Fazhan/computer Research and Development 2007年第7期44卷 1265-1271页

作者： Zhou, Qian Feng, Xiaobing Zhang, Zhaoqing Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Acad. of Sci. Beijing 100080 China

Optimization directed inlining is a good direction for inlining, but it does not consider the factor of the execution frequency and size of the function. Although a traditional inlining model considers the factor of execution frequency and size of the function, it does not consider the optimization after inlining. In this paper, a new inline model, loop fusion conscious inline model, is proposed to avoid these drawbacks of the inline model of the past. It considers both execution frequency and size and optimization. The inlining method which only considers loop fusion is implemented and is added into the ORC's original inline model. Then the new inline model is built and the model is tuned for high performance. In the experiment, some fact is found that temperature (execution frequency) isn't effective in some cases, and the reason is analyzed. Experiment result shows that the new model can greatly improve the performance of the compiler, and some SPEC CPU 2000 benchmark's peak performance can increase as high as 6%, and 1% on average.

关键词： Program compilers

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SAT-based arithmetic circuit bug-hunting method

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Jisuanji Xuebao/Chinese Journal of computers 2007年第12期30卷 2082-2089页

作者： Chen, Yun-Ji Zhang, Jian H.-H., Shen W.-W., Hu Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing 100080 China

E-CNF is hybrid of Boolean formula and mathematic formula. SAT-based arithmetic circuit bug-hunting method translates the verification problem into E-CNF, and solves E-CNF through E-SAT solver, E-SAT solver is an extension of complete SAT solver, with tag clause technique. Experiments show that SAT-based arithmetic bug-hunting method is powerful in finding bugs in arithmetic circuits.

关键词： Verification

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A Dynamic Description Logic Approach to Extended RBAC Model

A Dynamic Description Logic Approach to Extended RBAC Model

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International Conference on Future Generation Communication and Networking (FGCN)

作者： Li Ma Shilong Ma Yuefei Sui Department of Computer Science Beijing Aeronautics and Astronautics University Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)9780769530482;0769530486

Traditional RBAC model describes a static access control policy. As the development of network application, such as Web services, access control faces many new challenges, one of which is that access control policies need to protect not only static resources but also dynamic ones that are encapsulated in a service. In order to capture the flexibility of application, we specify a fine-grained control on individual users by introducing user attributes which are associated to user's role and permission. We take the service as an action that changes some of user's attributes so as to adjust users' permission at run. In order to represent and reason on the access control automatically, we use the description logics combined with prepositional dynamic logic as a logic framework to construct a knowledge base for the access control and action rules, and semantically explain how a user's permission can be changed at runtime.

关键词： Access control Permission Aerodynamics Automatic logic units Protection Qualifications computer science Laboratories Information processing Application software

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Effective low-power scan architecture-PowerCut

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Jisuanji Yanjiu yu Fazhan/computer Research and Development 2007年第3期44卷 473-478页

作者： Wang, Wei Han, Yinhe Hu, Yu Li, Xiaowei Zhang, Yousheng School of Computer and Information Hefei University of Technology Hefei 230009 China Advanced Test Technology Laboratory Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China

It is obvious that scan testing is the prevalent design for testability (DFT) in very large scale integrated circuits test. However, scan architecture in digital circuits causes much power consumption because when scan vectors are loaded into a scan chain, the effect of scan-ripple propagates to the combinational logic and redundant switching occurs in the combinational gates during the entire vectors shifting period. Hence, low-power design becomes a challenge for scan test. In this paper, a low-power scan architecture-PowerCut is proposed for minimizing power consumption during scan test, which is based on scan chain modification techniques. Blocking logic using transmission gates is inserted into the scan chain to reduce the dynamic power in shift cycle. At the same time, based on minimum leakage vector, a controlling unit is inserted. It makes the circuit slip into low leakage state during shift cycle. Thus, leakage power is also decreased. Experiments results indicate that this architecture can effectually reduce the power during scan test, and it has little improvement in area or delay overhead, compared with other low cost existing methods.

关键词： Integrated circuit testing

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keywords Extracting as Text Chance Discovery

Keywords Extracting as Text Chance Discovery

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Zhenya Zhang Honemei Cheng Schoold of Electronic and Information Engineering Anhui Institute of Architecture and Industry Hefei China MOE-Microsoft Key Laboratory of Multimedia Computing and Communication University of Science and Technology Hefei China Department of AIA Hefei China

keyword auto-extracting is focused by researchers on information retrieval, data mining, chance discovery and others application. In this paper, new algorithm, CCG(Cognition & Concept Graph, for text chance discovery is presented based on cognition with data depth as measurement. When the keywords in a document are treated as chances in the document, those keywords can be extracted by CGC automatically. In CGC, concepts of a document are represented as maximum connected sub graphs of the basic graph for the document and the cognition of reader/author on a term is weighted with data depth. The correlation for word and concept is defined and the formula for the correlation calculating is given. Experimental results show that keywords extracted by CCG can describe the document and author/reader's cognition much better than keywords extracted by others technologies such as frequency accumulating or key Graph.

关键词： Data mining Cognition Frequency Data engineering Information retrieval Visualization Man machine systems Laboratories Multimedia computing Industrial electronics

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Distributed Application Integration Based on Agent Grid Intelligent Platform

Distributed Application Integration Based on Agent Grid Inte...

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International Conference on Innovative computing, Information and Control (ICICIC)

作者： Maoguang Wang Zhongzhi Shi Jiewen Luo Li Zeng Graduate School of Chinese Academy of Sciences Beijing China School of Computer Science and Technology China University of Mining and Technology Xuzhou China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy and Sciences Beijing China

Due to the existence of a large amount of legacy information systems, how to obtain the information and integrate the legacy systems is becoming more and more concerned. This paper introduces the integration pattern based on agent grid. And we propose an agent grid intelligent platform called AGrIP, which can erase information islands and integrate external systems efficiently by encapsulating the distributed application system to agents. AGrIP adopts distributed hierarchical structure, which is capable of integrating external systems to provide the users various services dynamically. AGrIP has proved itself scalable and efficient during the industry projects development and application.

关键词： Intelligent agent Application software Collaboration Information systems Software libraries Connectors computer science Laboratories Information processing Testing

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Studies on Fuzzy Information Measures

Studies on Fuzzy Information Measures

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Shifei Ding Zhongzhi Shi Shixiong Xia Fengxiang Jin College of Computer Science and Technology China University of Mining and Technology Xuzhou China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Institute for Computing Technology Beijing China College of Geoinformation Science and Engineering Shandong University of Science and Technology Qingdao China

Fuzzy information measures play an important part in measuring the similarity degree between two pattern vectors in fuzzy circumstance. In this paper, two new fuzzy information measures are set up. Firstly, the classical similarity measures, such as dissimilarity measure (DM) and similarity measure (SM) are studied, an axiom theory about fuzzy entropy is surveyed, and all kinds of definitions of fuzzy entropy are discussed. Secondly, based on the idea of Shannon information entropy, two concepts of fuzzy joint entropy and fuzzy conditional entropy are proposed and the basic properties of them are given and proved. At last, two new measures, fuzzy absolute information measure (FAIM) and fuzzy relative information measure (FRIM), are set up, which can be used to measure the similarity degree between a fuzzy set A and a fuzzy set B. So, It provides a new research approach for studies on pattern similarity measure.

关键词： Fuzzy sets Pattern recognition Delta modulation Samarium Information entropy Random variables Probability distribution Educational institutions Mutual information computer science

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