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» Learning and Inference with Constraints
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GLOBECOM
2006
IEEE
14 years 4 months ago
Adaptive Learning of Transmission Control Policies for MIMO Fading Channels under Delay Constraint
— This paper addresses learning based adaptive resource allocation for wireless MIMO channels with Markovian fading. The problem is posed as Constrained Markov Decision Process w...
Dejan V. Djonin, Vikram Krishnamurthy
UML
2005
Springer
14 years 3 months ago
Lessons Learned from Developing a Dynamic OCL Constraint Enforcement Tool for Java
Analysis and design by contract allows the definition of a formal agreement between a class and its clients, expressing each party’s rights and obligations. Contracts written in ...
Wojciech J. Dzidek, Lionel C. Briand, Yvan Labiche
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
13 years 11 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
DAGM
1995
Springer
14 years 1 months ago
Learning Weights in Discrimination Functions Using a priori Constraints
We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called weighted average". Di erent submodules are produced by som...
Norbert Krüger
ICFP
1997
ACM
14 years 2 months ago
A Practical Subtyping System For Erlang
We present a type system for the programming language Erlang. The type system supports subtyping and declarationfree recursive types, using subtyping constraints. Our system is si...
Simon Marlow, Philip Wadler