56 citations · 140 across the 7 of their papers we have counts for
7 papers
Inference in Polytrees with Sets of Probabilities
Jose Carlos Ferreira da Rocha, Fabio Gagliardi Cozman, Cassio Polpo de Campos
Inferences in directed acyclic graphs associated with probability sets and probability intervals are NP-hard, even for polytrees. In this paper we focus on such inferences, and pro…
The Complexity of Approximately Solving Influence Diagrams
Denis D. Maua, Cassio Polpo de Campos, Marco Zaffalon
Influence diagrams allow for intuitive and yet precise description of complex situations involving decision making under uncertainty. Unfortunately, most of the problems described…
Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assesments
Fabio Gagliardi Cozman, Cassio Polpo de Campos, Jaime Ide +1
This paper investigates a representation language with flexibility inspired by probabilistic logic and compactness inspired by relational Bayesian networks. The goal is to handle p…
Belief Updating and Learning in Semi-Qualitative Probabilistic Networks
Cassio Polpo de Campos, Fabio Gagliardi Cozman
This paper explores semi-qualitative probabilistic networks (SQPNs) that combine numeric and qualitative information. We first show that exact inferences with SQPNs are NPPP-Comple…
Anytime Marginal MAP Inference
Denis Maua, Cassio De Campos
This paper presents a new anytime algorithm for the marginal MAP problem in graphical models. The algorithm is described in detail, its complexity and convergence rate are studied,…
Strategy Selection in Influence Diagrams using Imprecise Probabilities
Cassio Polpo de Campos, Qiang Ji
This paper describes a new algorithm to solve the decision making problem in Influence Diagrams based on algorithms for credal networks. Decision nodes are associated to imprecise…