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» On Deterministic Approximation of DNF
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ATAL
2010
Springer
13 years 8 months ago
Quasi deterministic POMDPs and DecPOMDPs
In this paper, we study a particular subclass of partially observable models, called quasi-deterministic partially observable Markov decision processes (QDET-POMDPs), characterize...
Camille Besse, Brahim Chaib-draa
FOCS
2004
IEEE
13 years 11 months ago
Stochastic Optimization is (Almost) as easy as Deterministic Optimization
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
David B. Shmoys, Chaitanya Swamy
ICGI
2004
Springer
14 years 1 months ago
Learning Stochastic Finite Automata
Abstract. Stochastic deterministic finite automata have been introduced and are used in a variety of settings. We report here a number of results concerning the learnability of th...
Colin de la Higuera, José Oncina
ECCC
2010
98views more  ECCC 2010»
13 years 7 months ago
A Note on Randomized Streaming Space Bounds for the Longest Increasing Subsequence Problem
The deterministic space complexity of approximating the length of the longest increasing subsequence of a stream of N integers is known to be ( N). However, the randomized comple...
Amit Chakrabarti
CORR
2011
Springer
185views Education» more  CORR 2011»
13 years 2 months ago
Asymptotic Moments for Interference Mitigation in Correlated Fading Channels
Abstract—We consider a certain class of large random matrices, composed of independent column vectors with zero mean and different covariance matrices, and derive asymptotically ...
Jakob Hoydis, Mérouane Debbah, Mari Kobayas...