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ICML
2004
IEEE
16 years 3 months ago
Learning and discovery of predictive state representations in dynamical systems with reset
Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...
Michael R. James, Satinder P. Singh
NIPS
1998
15 years 3 months ago
Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models
We present Monte-Carlo generalized EM equations for learning in nonlinear state space models. The dif
Thomas Briegel, Volker Tresp
PRICAI
2000
Springer
15 years 6 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
CRYPTO
2011
Springer
180views Cryptology» more  CRYPTO 2011»
14 years 2 months ago
Leakage-Resilient Zero Knowledge
In this paper, we initiate a study of zero knowledge proof systems in the presence of sidechannel attacks. Specifically, we consider a setting where a cheating verifier is allow...
Sanjam Garg, Abhishek Jain 0002, Amit Sahai
ACNS
2005
Springer
84views Cryptology» more  ACNS 2005»
15 years 8 months ago
Non-interactive Zero-Knowledge Arguments for Voting
Abstract. In voting based on homomorphic threshold encryption, the voter encrypts his vote and sends it in to the authorities that tally the votes. If voters can send in arbitrary ...
Jens Groth