All Outputs (10)

An online collaborative tool for sustainable design. (2005)
Conference Proceeding
BENNADJI, A., AHRIZ, H. and BELAKEHAL, A. 2005. An online collaborative tool for sustainable design. In Imbabi, M.S. and Mitchell, C.P. (eds.) Renewable energy, technology, innovation and the environment: proceedings of the 2005 Regional meeting of the World Renewable Energy Congress (WREC 2005): innovation in Europe, 22-27 May 2005, Aberdeen, UK. Amsterdam: Elsevier.

One of the most important aspects a design team needs to consider fairly early on is that of energy saving, cost, thermal comfort and the effect on the environment in terms of CO2 emissions. This paper presents an online collaborative tool that allow... Read More about An online collaborative tool for sustainable design..

Solving DisCSPs with penalty-driven search. (2005)
Conference Proceeding
BASHARU,M., ARANA, I. and AHRIZ, H. 2005. Solving DisCSPs with penalty-driven search. In Proceedings of the 20th American Association for Artificial Intelligence national conference on artificial intelligence (AAAI-05), co-located with the 17th Annual conference on innovative applications of artificial intelligence (IAAI-05), 9-13 July 2005, Pittsburgh, USA. Palo Alto: AAAI Press, pages 47-52.

We introduce the Distributed, Penalty-driven Local search algorithm (DisPeL) for solving Distributed Constraint Satisfaction Problems. DisPeL is a novel distributed iterative improvement algorithm which escapes local optima by the use of both tempora... Read More about Solving DisCSPs with penalty-driven search..

Distributed guided local search for solving binary DisCSPs. (2005)
Conference Proceeding
BASHARU, M., ARANA, I. and AHRIZ, H. 2005. Distributed guided local search for solving binary DisCSPs. In Russell, I. and Markov, Z. (eds.) Proceedings of the 18th International conference of the Florida Artificial Intelligence Research Society (FLAIRS 2005), 16-18 May 2005, Clearwater, USA. Palo Alto: AAAI Press [online], pages 660-665. Available from: http://www.aaai.org/Papers/FLAIRS/2005/Flairs05-108.pdf

We introduce the Distributed Guided Local Search (Dist- GLS) algorithm for solving Distributed Constraint Satisfaction Problems. Our algorithm is based on the centralised Guided Local Search algorithm, which is extended with additional heuristics in... Read More about Distributed guided local search for solving binary DisCSPs..

Artificial biochemical networks. (2005)
Conference Proceeding
CAPANNI, N., MACLEOD, C., MAXWELL, G. and CLAYTON, W. 2005. Artificial biochemical networks. In Mohammadlan, M. (ed.) Proceedings of the 2005 International conference on computational intelligence for modelling, control and automation, and the 2005 International conference on intelligent agents, web technologies and internet commerce (CIMCA-IAWTIC'05), 28-30 November 2005, Vienna, Austria. Los Alamitos: IEEE Computer Society [online], volume 2, article number 1631452, pages 98-102. Available from: https://doi.org/10.1109/CIMCA.2005.1631452

Connectionist approaches to Artificial Intelligence are almost always based on Artificial Neural Networks. However, there is another route towards Parallel Distributed Processing, taking as its inspiration the intelligence displayed by single celled... Read More about Artificial biochemical networks..

Document re-ranking by generality in bio-medical information retrieval. (2005)
Conference Proceeding
YAN, X., LI, X. and SONG, D. 2005. Document re-ranking by generality in bio-medical information retrieval. In Ngu, A.H.H., Kitsuregawa, M., Neuhold, E.J., Chung, J.-Y. and Sheng, Q.Z. (eds.) Web information systems engineering: proceedings of the 6th International conference on web information systems engineering (WISE 2005), 20-22 November 2005, New York, USA. Lecture notes in computer science, 3806. Berlin: Springer [online], pages 376-389. Available from: https://doi.org/10.1007/11581062_28

Document ranking is an important process in information retrieval (IR). It presents retrieved documents in an order of their estimated degrees of relevance to query. Traditional document ranking methods are mostly based on the similarity computations... Read More about Document re-ranking by generality in bio-medical information retrieval..

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..

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..

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..

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..