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Approximation of the Continuous Nilpotent Operator Class József Dombi, Zsolt Gera

Approximation of the Continuous Nilpotent Operator Class József Dombi, Zsolt Gera

Approximation of Action Theories and Its Application to Conformant Planning

Approximation of Action Theories and Its Application to Conformant Planning

Approximation Algorithms via Contraction Decomposition Please share

Approximation Algorithms via Contraction Decomposition Please share

Approximation Algorithms for Max-Sum-Product Problems

Approximation Algorithms for Max-Sum-Product Problems

Approximation Algorithms and Mechanism Design for Minimax Approval Voting Ioannis Caragiannis

Approximation Algorithms and Mechanism Design for Minimax Approval Voting Ioannis Caragiannis

Approximating the Sum Operation for Marginal-MAP Inference

Approximating the Sum Operation for Marginal-MAP Inference

Approximating the Community Structure of the Long Tail Introduction

Approximating the Community Structure of the Long Tail Introduction

Approximating Partial Interchangeability in CSP Solutions Nicoleta Neagu Boi Faltings

Approximating Partial Interchangeability in CSP Solutions Nicoleta Neagu Boi Faltings

Approximating Model-Based ABox Revision in DL-Lite: Theory and Practice Guilin Qi Zhe Wang

Approximating Model-Based ABox Revision in DL-Lite: Theory and Practice Guilin Qi Zhe Wang

Approximating Line Losses and Apparent Power in AC Power Flow

Approximating Line Losses and Apparent Power in AC Power Flow

Approximating Betweenness Centrality

Approximating Betweenness Centrality

Approximately Revenue-Maximizing Auctions for Deliberative Agents L. Elisa Celis Anna R. Karlin

Approximately Revenue-Maximizing Auctions for Deliberative Agents L. Elisa Celis Anna R. Karlin

Approximately Optimal Risk-Averse Routing Policies via Adaptive Discretization Darrell Hoy Evdokia Nikolova

Approximately Optimal Risk-Averse Routing Policies via Adaptive Discretization Darrell Hoy Evdokia Nikolova

Approximate Solutions to Factored Markov Decision Processes via

Approximate Solutions to Factored Markov Decision Processes via

Approximate Solutions of Interactive Dynamic Inﬂuence Diagrams Using Model Clustering Yifeng Zeng

Approximate Solutions of Interactive Dynamic Inﬂuence Diagrams Using Model Clustering Yifeng Zeng

Approximate Policy Iteration with Linear Action Models Hengshuai Yao, Csaba Szepesv´ari

Approximate Policy Iteration with Linear Action Models Hengshuai Yao, Csaba Szepesv´ari

Approximate Policy Iteration with a Policy Language Bias:

Approximate Policy Iteration with a Policy Language Bias:

Approximate Maximum-Entropy Integration of Syntactic

Approximate Maximum-Entropy Integration of Syntactic

Approximate MaxEnt Inverse Optimal Control and

Approximate MaxEnt Inverse Optimal Control and

Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes Pascal Poupart

Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes Pascal Poupart

Approximate Lifting Techniques for Belief Propagation Parag Singla

Approximate Lifting Techniques for Belief Propagation Parag Singla

Approximate Decentralized Bayesian Inference Please share

Approximate Decentralized Bayesian Inference Please share

Approximate Databases and Query Techniques for Agents with Heterogeneous Perceptual Capabilities

Approximate Databases and Query Techniques for Agents with Heterogeneous Perceptual Capabilities

Approximate Counting of Graphical Models Via MCMC Revisited Dag Sonntag

Approximate Counting of Graphical Models Via MCMC Revisited Dag Sonntag