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» Learning for Dynamic Subsumption
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CGO
2010
IEEE
15 years 2 months ago
Taming hardware event samples for FDO compilation
Feedback-directed optimization (FDO) is effective in improving application runtime performance, but has not been widely adopted due to the tedious dual-compilation model, the dif...
Dehao Chen, Neil Vachharajani, Robert Hundt, Shih-...
COOPIS
2002
IEEE
15 years 2 months ago
Discovering Emergent Virtual Work Processes in Collaborative Systems
The design of virtual workplaces that can support virtual work processes has traditionally been either ad-hoc, or has been influenced by the top-down approaches, such as ‘virtua...
Simeon J. Simoff, Robert P. Biuk-Aghai
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
15 years 2 months ago
Intelligent file scoring system for malware detection from the gray list
Currently, the most significant line of defense against malware is anti-virus products which focus on authenticating valid software from a white list, blocking invalid software f...
Yanfang Ye, Tao Li, Qingshan Jiang, Zhixue Han, Li...
AGENTS
2001
Springer
15 years 2 months ago
Adjustable autonomy in real-world multi-agent environments
Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but wi...
Paul Scerri, David V. Pynadath, Milind Tambe
84
Voted
CCO
2001
Springer
161views Combinatorics» more  CCO 2001»
15 years 2 months ago
Branch, Cut, and Price: Sequential and Parallel
Branch, cut, and price (BCP) is an LP-based branch and bound technique for solving large-scale discrete optimization problems (DOPs). In BCP, both cuts and variables can be generat...
Laszlo Ladányi, Ted K. Ralphs, Leslie E. Tr...