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» Problem Solving in the DISCO Constraint Database System
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EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 2 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
ICDE
2010
IEEE
241views Database» more  ICDE 2010»
15 years 9 months ago
FlexPref: A Framework for Extensible Preference Evaluation in Database Systems
Personalized database systems give users answers tailored to their personal preferences. While numerous preference evaluation methods for databases have been proposed (e.g., skylin...
Justin J. Levandoski, Mohamed F. Mokbel, Mohamed E...
SIGMOD
2006
ACM
117views Database» more  SIGMOD 2006»
15 years 10 months ago
Database support for matching: limitations and opportunities
We define a match join of R and S with predicate to be a subset of the -join of R and S such that each tuple of R and S contributes to at most one result tuple. Match joins and t...
Ameet Kini, Srinath Shankar, Jeffrey F. Naughton, ...
PAAMS
2010
Springer
15 years 2 months ago
Advantages of MAS for the Resolution of a Power Management Problem in Smart Homes
Abstract This paper contributes to the design of intelligent buildings. A MultiAgents Home Automation System (MAHAS) is proposed which controls appliances and energy sources in bui...
Shadi Abras, Sylvie Pesty, Stéphane Ploix, ...
ICAC
2005
IEEE
15 years 3 months ago
Quickly Finding Known Software Problems via Automated Symptom Matching
We present an architecture for and prototype of a system for quickly detecting software problem recurrences. Re-discovery of the same problem is very common in many large software...
Mark Brodie, Sheng Ma, Guy M. Lohman, Laurent Mign...