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UAI
2004
13 years 10 months ago
Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences
We present a new method for nonlinear prediction of discrete random sequences under minimal structural assumptions. We give a mathematical construction for optimal predictors of s...
Cosma Rohilla Shalizi, Kristina Lisa Shalizi
ICMLA
2010
13 years 6 months ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
MOBICOM
2004
ACM
14 years 2 months ago
A scalable model for channel access protocols in multihop ad hoc networks
A new modeling framework is introduced for the analytical study of medium access control (MAC) protocols operating in multihop ad hoc networks. The model takes into account the eï...
Marcelo M. Carvalho, Jose Joaquin Garcia-Luna-Acev...
IPPS
2008
IEEE
14 years 3 months ago
A plug-and-play model for evaluating wavefront computations on parallel architectures
This paper develops a plug-and-play reusable LogGP model that can be used to predict the runtime and scaling behavior of different MPI-based pipelined wavefront applications runni...
Gihan R. Mudalige, Mary K. Vernon, Stephen A. Jarv...
CONEXT
2006
ACM
14 years 3 months ago
Modeling the AIADD paradigm in networks with variable delays
Modeling TCP is fundamental for understanding Internet behavior. The reason is that TCP is responsible for carrying a huge quota of the Internet traffic. During last decade many a...
Gennaro Boggia, Pietro Camarda, Alessandro D'Alcon...