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Outputs (1100)

Query expansion using term relationships in language models for information retrieval. (2005)
Conference Proceeding
BAI, J., SONG, D., BRUZA, P., NIE, J.-Y. and CAO, G. 2005. Query expansion using term relationships in language models for information retrieval. In Proceedings of the 14th Association for Computing Machinery (ACM) international conference on information and knowledge management (CIKM'05), 31 October - 5 November 2005, Bremen, Germany. New York: ACM [online], pages 688-695. Available from: https://doi.org/10.1145/1099554.1099725

Language Modeling (LM) has been successfully applied to Information Retrieval (IR). However, most of the existing LM approaches only rely on term occurrences in documents, queries and document collections. In traditional unigram based models, terms (... Read More about Query expansion using term relationships in language models for information retrieval..

Design, innovation and case-based reasoning. (2005)
Journal Article
GOEL, A. and CRAW, S. 2005. Design, innovation and case-based reasoning. Knowledge engineering review [online], 20(3), pages 271-276. Available from:https://doi.org/10.1017/S0269888906000609

The design task is especially appropriate for applying, integrating, exploring and pushing the boundaries of case-based reasoning. In this paper, we briefly review the challenges that design poses for case-based reasoning and survey research on case-... Read More about Design, innovation and case-based reasoning..

Statistical optimisation and tuning of GA factors. (2005)
Conference Proceeding
PETROVSKI, A., BROWNLEE, A. and MCCALL, J. 2005. Statistical optimisation and tuning of GA factors. In Proceedings of the 2005 IEEE congress on evolutionary computation (CEC 2005), 2-5 September 2005, Edinburgh, UK. New York: IEEE [online], volume 1, article number 1554759, pages 758-764. Available from: https://doi.org/10.1109/CEC.2005.1554759

This paper presents a practical methodology of improving the efficiency of Genetic Algorithms through tuning the factors significantly affecting GA performance. This methodology is based on the methods of statistical inference and has been successful... Read More about Statistical optimisation and tuning of GA factors..

Incorporating a metropolis method in a distribution estimation using Markov random field algorithm. (2005)
Conference Proceeding
SHAKYA, S.K., MCCALL, J.A.W. and BROWN, D.F. 2005. Incorporating a metropolis method in a distribution estimation using Markov random field algorithm. In Proceedings of the 2005 IEEE congress on evolutionary computation (CEC 2005), 2-5 September 2005, Edinburgh, UK. New York: IEEE [online], volume 3, article number 1555017, pages 2576-2583. Available from: https://doi.org/10.1109/CEC.2005.1555017

Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs)[34, 4]. An EDA using this technique, presented in [34], was called Distribution... Read More about Incorporating a metropolis method in a distribution estimation using Markov random field algorithm..

Retrieval, reuse, revision and retention in case-based reasoning. (2005)
Journal Article
DE MANTARAS, R.L., MCSHERRY, D., BRIDGE, D., LEAKE, D., SMYTH, B., CRAW, S., FALTINGS, B., MAHER, M.L., COX, M.T., FORBUS, K., KEANE, M., AAMODT, A. and WATSON, I. 2005. Retrieval, reuse, revision and retention in case-based reasoning. Knowledge engineering review [online], 20(3), pages 215-240. Available from: https://doi.org/10.1017/S0269888906000646

Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future problem solving (i.e., new problems are solved by reusing and if necessary adapting the solutions to similar problems that were so... Read More about Retrieval, reuse, revision and retention in case-based reasoning..

Escaping local optima with penalties in distributed iterative improvement search. (2005)
Presentation / Conference
BASHARU, M., ARANA, I. and AHRIZ, H. 2005. Escaping local optima with penalties in distributed iterative improvement search. Presented at the 6th International workshop on distributed constraint reasoning (DCR 2005), part of the 19th International joint conference on artificial intelligence (IJCAI-05), 30 July - 5 August 2005, Edinburgh, UK.

The advantages offered by iterative improvement search make it a popular technique for solving problems in centralised settings. However, the key challenge with this approach is finding effective strategies for dealing with local optima. Such strateg... Read More about Escaping local optima with penalties in distributed iterative improvement search..

Policy conformance in the corporate blog space. (2005)
Conference Proceeding
MCARTHUR, R., BRUZA, P.D. and SONG, D. 2005. Policy conformance in the corporate blog space. In Kagal, L., Finin, T. and Hendler, J. (eds.) Proceedings of the Policy management for the web workshop, part of the 14th International world wide web conference (WWW2005), 10-14 May 2005, Chiba, Japan. Baltimore: University of Maryland [online], pages 21-28. Available from: https://www.csee.umbc.edu/conference/pm4w/papers/mcarthur13.pdf

This paper describes part of a solution to the interpretation of human-readable policy documents into semi-automatic conformance checking. Using a socio-cognitively motivated representation of shared knowledge, and applying appropriate inference mech... Read More about Policy conformance in the corporate blog space..

High dimensional indexing for protein structure matching using bowties. (2005)
Conference Proceeding
HUANG, Z.H., ZHOU, X. and SONG, D. 2005. High dimensional indexing for protein structure matching using bowties. In Chen, Y.-P.P. and Wong, L. (eds.) Proceedings of the 3rd Asia-Pacific bioinformatics conference (APBC'05), 17-21 January 2005, Singapore. Advances in bioinformatics and computational biology, 1. London: Imperial College Press [online], pages 21-30. Available from: https://doi.org/10.1142/9781860947322_0003

For determining functionality dependencies between two proteins, both represented as 3D structures, it is an essential condition that they have a matching structure. As 3D structures for proteins are large, complex and constantly evolving, it is very... Read More about High dimensional indexing for protein structure matching using bowties..

Building models through formal specification. (2004)
Conference Proceeding
RENKER, G. and AHRIZ, H. 2004. Building models through formal specification. In Régin, J.-C. and Rueher, M. (eds.) Integration of AI and OR techniques in constraint programming for combinatorial optimization problems: proceedings of the 1st International conference on integration of artificial intelligence and operations research techniques in constraint programming (CPAIOR 2004), 20-22 April 2004, Nice, France. Lecture notes in computer science, 3011. Berlin: Springer [online], pages 395-401. Available from: https://doi.org/10.1007/978-3-540-24664-0_29

Over the past years, a number of increasingly expressive languages for modelling constraint and optimisation problems have evolved. In developing a strategy to ease the complexity of building models for constraint and optimisation problems, we have a... Read More about Building models through formal specification..