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164
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AIR
2005
98views more  AIR 2005»
15 years 6 months ago
Evolving Dynamic Multi-Objective Optimization Problems with Objective Replacement
This paper studies the strategies for multi-objective optimization in a dynamic environment. In particular, we focus on problems with objective replacement, where some objectives ...
Sheng Uei Guan, Qian Chen, Wenting Mo
TELECARE
2004
184views Healthcare» more  TELECARE 2004»
15 years 8 months ago
Securing Mobile Agent Based Tele-Assistance Systems
Nowadays the scientific community is trying to design new techniques in the search for solving security problems in mobile agent technology. There are now some industry initiatives...
Sergio Pozo, Rafael M. Gasca, María Teresa ...
199
Voted
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
16 years 7 months ago
Multiscale topic tomography
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
Ramesh Nallapati, Susan Ditmore, John D. Lafferty,...
CIBCB
2008
IEEE
16 years 1 months ago
Discovering novel cancer therapies: A computational modeling and search approach
— Solid tumors must recruit new blood vessels for growth and maintenance. Discovering drugs that block this tumor-induced development of new blood vessels (angiogenesis) is an im...
Arthur W. Mahoney, Brian G. Smith, Nicholas S. Fla...
ECAI
1990
Springer
15 years 10 months ago
Knowledge-Intensive Case-Based Reasoning and Sustained Learning
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
Agnar Aamodt