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» Using Rough Sets as Tools for Knowledge Discovery
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ISPD
2004
ACM
189views Hardware» more  ISPD 2004»
15 years 3 months ago
Almost optimum placement legalization by minimum cost flow and dynamic programming
VLSI placement tools usually work in two steps: First, the cells that have to be placed are roughly spread out over the chip area ignoring disjointness (global placement). Then, i...
Ulrich Brenner, Anna Pauli, Jens Vygen
GPCE
2008
Springer
14 years 11 months ago
Property models: from incidental algorithms to reusable components
A user interface, such as a dialog, assists a user in synthesising a set of values, typically parameters for a command object. Code for “command parameter synthesis” is usuall...
Jaakko Järvi, Mat Marcus, Sean Parent, John F...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
15 years 10 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan
CORR
2011
Springer
190views Education» more  CORR 2011»
14 years 1 months ago
Compiling Causal Theories to Successor State Axioms and STRIPS-Like Systems
We describe a system for specifying the effects of actions. Unlike those commonly used in AI planning, our system uses an action description language that allows one to specify t...
Fangzhen Lin
AAAI
2000
14 years 11 months ago
From Causal Theories to Successor State Axioms and STRIPS-Like Systems
We describe a system for specifying the effects of actions. Unlike those commonly used in AI planning, our system uses an action description language that allows one to specify th...
Fangzhen Lin