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» SNPs Problems, Complexity, and Algorithms
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JAIR
2008
130views more  JAIR 2008»
13 years 10 months ago
Online Planning Algorithms for POMDPs
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...
Stéphane Ross, Joelle Pineau, Sébast...
COMSUR
2011
203views Hardware» more  COMSUR 2011»
12 years 10 months ago
Overcoming Adversaries in Sensor Networks: A Survey of Theoretical Models and Algorithmic Approaches for Tolerating Malicious In
Interference is an unavoidable property of the wireless communication medium and, in sensor networks, such interference is exacerbated due to the energy-starved nature of the netw...
Maxwell Young, Raouf Boutaba
INFORMATICALT
2000
126views more  INFORMATICALT 2000»
13 years 10 months ago
Adaptive Integration of Stiff ODE
The accuracy of adaptive integration algorithms for solving stiff ODE is investigated. The analysis is done by comparing the discrete and exact amplification factors of the equatio...
Raimondas Ciegis, Olga Suboc, Remigijus Ciegis
JMLR
2008
230views more  JMLR 2008»
13 years 10 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
JMLR
2010
109views more  JMLR 2010»
13 years 5 months ago
Matrix Completion from Noisy Entries
Given a matrix M of low-rank, we consider the problem of reconstructing it from noisy observations of a small, random subset of its entries. The problem arises in a variety of app...
Raghunandan H. Keshavan, Andrea Montanari, Sewoong...