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The possibility of using simple neuron models to design brain-like computers 1

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5th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2012

作者： Hu, Hong Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Science Beijing 100190 China

ISBN: (数字)9783642315619

ISBN: (纸本)9783642315602

IBM Research and five leading universities are partnering to create computing systems that are expected to simulate and emulate the brain's abilities. Although this project has achieved some successes, it meets great difficulties in the further research. The main difficulty is that it is almost impossible to analyze the dynamic character of neural networks in detail, when more than ten thousands neurons of complex nonlinear neural models are piled up. So it is nature to present such question: in order to simplify the design of brain-like computers, can we use simple neuron models to design brain-like computers or can we find a simplest neuron model which can simulate most neuron models with arbitrary precision? In this paper, we proved that almost all neural models found by neural scientists nowadays can be simulated by Hopfield neural networks. So it is possible to use simple neuron model to design Brain-like computers. © 2012 Springer-Verlag.

关键词： Neurons

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50th Annual Meeting of the Association for Computational Linguistics, ACL 2012

作者： Xiao, Xinyan Xiong, Deyi Zhang, Min Liu, Qun Lin, Shouxun Key Lab. of Intelligent Info. Processing Chinese Academy of Sciences Institute of Computing Technology China Human Language Technology Institute for Infocomm Research Singapore

ISBN: (纸本)9781937284244

Previous work using topic model for statistical machine translation (SMT) explore topic information at the word level. However, SMT has been advanced from word-based paradigm to phrase/rule-based paradigm. We therefore propose a topic similarity model to exploit topic information at the synchronous rule level for hierarchical phrase-based translation. We associate each synchronous rule with a topic distribution, and select desirable rules according to the similarity of their topic distributions with given documents. We show that our model significantly improves the translation performance over the baseline on NIST Chinese-to-English translation experiments. Our model also achieves a better performance and a faster speed than previous approaches that work at the word level. © 2012 Association for Computational Linguistics.

关键词： Machine translation

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Reasoning theory for D3L with compositional bridge rules 1

引用

7th IFIP International Conference on intelligent information processing, IIP 2012

作者： Zhao, Xiaofei Tian, Dongping Chen, Limin Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Research Institute of China Unicom Beijing China

ISBN: (数字)9783642328916

ISBN: (纸本)9783642328909

The semantic mapping in Distributed Dynamic Description Logics (D3L) allows knowledge to propagate from one ontology to another. The current research for knowledge propagation in D3L is only for a simplified case when only two ontologies are involved. In this paper we study knowledge propagation in more complex cases. We find in the case when more than two ontologies are involved and bridge rules form chains, knowledge does not always propagate along chains of bridge rules even if we would expect it. Inspired by Package-based description Logics, we extend the original semantics of D3L by imposing so called compositional consistency condition on domain relations in D3L interpretations. Under this semantics knowledge propagates along chains of bridge rules correctly. Furthermore we provide a distributed Tableaux reasoning algorithm for deciding satisfiability of concepts which is decidable in D3L under compositional consistency. Compared with original one, the extended D3L provides more reasonable logic foundation for distributed, dynamic system such as the information integration system and the Semantic Web. © 2012 IFIP International Federation for information processing.

关键词： Ontology

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Semi-supervised clustering ensemble based on multi-ant colonies algorithm

Semi-supervised clustering ensemble based on multi-ant colon...

引用

7th International Conference on Rough Sets and Knowledge technology, RSKT 2012

作者： Yang, Yan Wang, Hongjun Lin, Chao Zhang, Jinyuan School of Information Science and Technology Provincial Key Lab. of Cloud Computing and Intelligent Technology Southwest Jiaotong University Chengdu 610031 China

ISBN: (纸本)9783642318993

Semi-supervised clustering ensemble has emerged as an important elab.ration of classical clustering problem that improves quality and robustness in clustering by combining the results of different clustering components with user provided constraints. In this paper, we propose a novel semi-supervised consensus clustering algorithm based on multi-ant colonies. Our method incorporates pairwise constraints not only in each ant colony clustering process, but also in computing new similarity matrix during the multi-ant colonies ensemble. Experimental results demonstrate the effectiveness of the proposed method. © 2012 Springer-Verlag.

关键词： Clustering algorithms

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Parallel decision tree with application to water quality data analysis 1

引用

9th International Symposium on Neural Networks, ISNN 2012

作者： He, Qing Dong, Zhi Zhuang, Fuzhen Shang, Tianfeng Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Graduate University of Chinese Academy of Sciences China

ISBN: (数字)9783642313622

ISBN: (纸本)9783642313615

Decision tree is a popular classification technique in many applications, such as retail target marketing, fraud detection and design of telecommunication service plans. With the information exploration, the existing classification algorithms are not good enough to tackle large data set. In order to deal with the problem, many researchers try to design efficient parallel classification algorithms. Based on the current and powerful parallel programming framework - MapReduce, we propose a parallel ID3 classification algorithm(PID3 for short). We use water quality data monitoring the Changjiang River which contains 17 branches as experimental data. As the data are time series, we process the data to attribute data before using the decision tree. The experimental results demonstrate that the proposed algorithm can scale well and efficiently process large datasets on commodity hardware. © 2012 Springer-Verlag.

关键词： MapReduce

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Automatic security analysis for group key exchange protocol: A case study in Burmester-Desmedt protocol 1

引用

2nd International Conference of Electrical and Electronics Engineering, ICEEE 2011

作者： Chunyang, Ren Hongyuan, Wang Zijian, Zhang Lejian, Liao Beijing Key Lab. of Intelligent Information School of Computer Science and Technology Beijing Institute of Technology Beijing China

ISBN: (数字)9783642260070

ISBN: (纸本)9783642260063

Canetti and Herzog have already proposed universally composable symbolic analysis (UCSA) for mutual authentication and key exchange protocols automatically without sacrificing the soundness of the cryptography. We want to extend their work to analyze group key exchange protocols. This paper takes the case of BD protocol with arbitrary participants against passive adversary (BD-Passive), and proves that BD-Passive is a secure group key exchange protocol. More specially, we (1) define the ideal functionality of BD-Passive;(2) prove the security property of BD-Passive in UC security framework by UCSA. Obviously, our work plays a new approach to prove group key exchange protocols automatically without sacrificing the soundness of the cryptography. © 2012 Springer-Verlag.

关键词： Cryptography

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Theory for semantic relation computing and its application in semantic link network

Theory for semantic relation computing and its application i...

引用

2012 8th International Conference on Semantics, Knowledge and Grids, SKG 2012

作者： Sun, Yunchuan Lu, Cheng Yan, Hongli Bie, Rongfang Beijing Normal University Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9780769547947

Semantic relation among different objects is one of the most important kinds of semantics which plays the primary role for people and intelligent systems in grasping the situation accurately in the context of connected systems. The semantic relations are viewed as the most important elements in most existing information models (such as ER model, RDF and SLN) during the mapping from the physical world into the cyber world, where efficient ways of representation for semantic relations are developed. However, all these models deal with the semantic relations in a simple and intuitive way. Few works go deep into the study of semantic relations from a mathematic view. This paper aims at exploring a mathematic theory of the semantic relations between objects including representing methods, normal forms of operations, semantic orthogonal basis of the semantic relations. We also discuss the reasoning mechanism based on the proposed theory. The applications of the developed theory in semantic link network are discussed finally. © 2012 IEEE.

关键词： intelligent systems

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TINAC: A fast and effective web video topic detection framework

TINAC: A fast and effective web video topic detection framew...

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2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012

作者： Ao, Xiang Zhuang, Fuzhen He, Qing Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences China Graduate University of Chinese Academy of Sciences China

ISBN: (纸本)9781467300223

Most of the previous works for web video topic detection(e.g., graph-based co-clustering method) always encounter the problem of real-time topic detection, since they all suffer from the high computation complexity. Therefore, a fast topic detection is needed to meet users' or administrators' requirement in real-world scenarios. Along this line, we propose a fast and effective topic detection framework, in which video streams are first partitioned into buckets using a time-window function, and then an incremental hierarchical clustering algorithm is developed, finally a video-based fusion strategy is used to integrate information from multiple modalities. Furthermore, a series of novel similarity metrics are defined in the framework. The experimental results on three months' YouTube videos demonstrate the effectiveness and efficiency of the proposed method. © 2012 IEEE.

关键词： Graphic methods

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Designing an efficient scheduling algorithm for P2PTV system

引用

2nd International Conference on Future Control and Automation, ICFCA 2012

作者： Zhang, Kai Li, Kan Beijing Key Lab. of Intelligent Information Technology School of Computer Science and Technology Beijing Institute of Technology Beijing China

ISBN: (纸本)9783642310027

Scheduling the transmission of stream chunks is one of the main challenges in P2PTV system. In this paper, in order to improve the performance of push-based scheduling algorithm by exploiting chunk and peer's characteristics in the heterogeneous scenario, we first present a 2-stage buffer window model and define redistribution capacity factor to describe chunk and peer's characteristics. Then, we propose a new scheduling algorithm, called Urgent then Latest chunk / Redistribution Capacity peer (UL/RC). The UL/RC includes two components: UL chunk scheduler and RC peer scheduler. UL chunk scheduler uses the urgent chunk priority strategy to achieve low loss rate. RC peer scheduler employs high redistribution capacity peer priority strategy to achieve low delivery delay. Experimental results indicate that our scheduling algorithm outperforms state-of-the-art approaches. © 2012 Springer-Verlag.

关键词： Scheduling algorithms

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Identifying high-impact sub-structures for convolution kernels in document-level sentiment classification

Identifying high-impact sub-structures for convolution kerne...

引用

50th Annual Meeting of the Association for Computational Linguistics, ACL 2012

作者： Tu, Zhaopeng He, Yifan Foster, Jennifer Van Genabith, Josef Liu, Qun Lin, Shouxun Key Lab. of Intelligent Info. Processing Institute of Computing Technology CAS China Computer Science Department New York University United States School of Computing Dublin City University Ireland

ISBN: (纸本)9781937284251

Convolution kernels support the modeling of complex syntactic information in machinelearning tasks. However, such models are highly sensitive to the type and size of syntactic structure used. It is therefore an important challenge to automatically identify high impact sub-structures relevant to a given task. In this paper we present a systematic study investigating (combinations of) sequence and convolution kernels using different types of substructures in document-level sentiment classification. We show that minimal sub-structures extracted from constituency and dependency trees guided by a polarity lexicon show 1.45 point absolute improvement in accuracy over a bag-of-words classifier on a widely used sentiment corpus. © 2012 Association for Computational Linguistics.

关键词： Convolution

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