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» Statistical Modelling of CSP Solving Algorithms Performance
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NIPS
1998
13 years 10 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
CP
2008
Springer
13 years 10 months ago
An Application of Constraint Programming to Superblock Instruction Scheduling
Modern computer architectures have complex features that can only be fully taken advantage of if the compiler schedules the compiled code. A standard region of code for scheduling ...
Abid M. Malik, Michael Chase, Tyrel Russell, Peter...
ICCAD
2009
IEEE
151views Hardware» more  ICCAD 2009»
13 years 6 months ago
Timing yield-aware color reassignment and detailed placement perturbation for double patterning lithography
Double patterning lithography (DPL) is a likely resolution enhancement technique for IC production in 32nm and below technology nodes. However, DPL gives rise to two independent, ...
Mohit Gupta, Kwangok Jeong, Andrew B. Kahng
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
KDD
2002
ACM
286views Data Mining» more  KDD 2002»
14 years 9 months ago
Object Boundary Detection For Ontology-Based Image Classification
Technology in the field of digital media generates huge amounts of non-textual information, audio, video, and images, along with more familiar textual information. The potential f...
Lei Wang, Latifur Khan, Casey Breen