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AAAI
2000
13 years 10 months ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
ML
2000
ACM
150views Machine Learning» more  ML 2000»
13 years 8 months ago
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
Filippo Menczer, Richard K. Belew
ICWS
2009
IEEE
13 years 6 months ago
Discovery of Optimized Web Service Configurations Using a Hybrid Semantic and Statistical Approach
We present a Semantic Optimized Service Discovery (SemOSD) approach capable of handling Web service search requests on a fine-grained level of detail where we augment semantic ser...
Maciej Zaremba, Jacek Migdal, Manfred Hauswirth
AAAI
1994
13 years 10 months ago
Activity Analysis: The Qualitative Analysis of Stationary Points for Optimal Reasoning
We present a theory of a modeler's problem decomposition skills in the context of optimal reasonzng -- the use of qualitative modeling to strategically guide numerical explor...
Brian C. Williams, Jonathan Cagan
IPCCC
2007
IEEE
14 years 3 months ago
Understanding Localized-Scanning Worms
— Localized scanning is a simple technique used by attackers to search for vulnerable hosts. Localized scanning trades off between the local and the global search of vulnerable h...
Zesheng Chen, Chao Chen, Chuanyi Ji