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» An Instance Selection Approach to Multiple Instance Learning
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FLAIRS
2004
14 years 11 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
SAMOS
2007
Springer
15 years 4 months ago
An Evolutionary Approach to Area-Time Optimization of FPGA designs
—This paper presents a new methodology based on evolutionary multi-objective optimization (EMO) to synthesize multiple complex modules on programmable devices (FPGAs). It starts ...
Fabrizio Ferrandi, Pier Luca Lanzi, Gianluca Paler...
SAT
2005
Springer
133views Hardware» more  SAT 2005»
15 years 3 months ago
Solving Over-Constrained Problems with SAT Technology
Abstract. We present a new generic problem solving approach for overconstrained problems based on Max-SAT. We first define a clausal form formalism that deals with blocks of clau...
Josep Argelich, Felip Manyà
JAIR
2007
141views more  JAIR 2007»
14 years 9 months ago
Bin Completion Algorithms for Multicontainer Packing, Knapsack, and Covering Problems
Many combinatorial optimization problems such as the bin packing and multiple knapsack problems involve assigning a set of discrete objects to multiple containers. These problems ...
Alex S. Fukunaga, Richard E. Korf
WEBDB
2010
Springer
156views Database» more  WEBDB 2010»
15 years 2 months ago
Redundancy-Driven Web Data Extraction and Integration
A large number of web sites publish pages containing structured information about recognizable concepts, but these data are only partially used by current applications. Although s...
Paolo Papotti, Valter Crescenzi, Paolo Merialdo, M...