
An Empirical Accuracy Law for Sequential Machine Translation: the Case of Google Translate
We have established, through empirical testing, a law that relates the n...
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A Fully AttentionBased Information Retriever
Recurrent neural networks are now the stateoftheart in natural langua...
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Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach
Knowledge bases are employed in a variety of applications from natural l...
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On the Semantics and Complexity of Probabilistic Logic Programs
We examine the meaning and the complexity of probabilistic logic program...
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The Complexity of Bayesian Networks Specified by Propositional and Relational Languages
We examine the complexity of inference in Bayesian networks specified by...
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FirstOrder Bayesian Network Specifications Capture the Complexity Class PP
The point of this note is to prove that a language is in the complexity ...
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QuasiBayesian Strategies for Efficient Plan Generation: Application to the Planning to Observe Problem
QuasiBayesian theory uses convex sets of probability distributions and ...
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Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions
Robust Bayesian inference is the calculation of posterior probability bo...
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Irrelevance and Independence Relations in QuasiBayesian Networks
This paper analyzes irrelevance and independence relations in graphical ...
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Separation Properties of Sets of Probability Measures
This paper analyzes independence concepts for sets of probability measur...
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Inference with Seperately Specified Sets of Probabilities in Credal Networks
We present new algorithms for inference in credal networks  directed ...
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Inference in Polytrees with Sets of Probabilities
Inferences in directed acyclic graphs associated with probability sets a...
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Propositional and Relational Bayesian Networks Associated with Imprecise and Qualitative Probabilistic Assesments
This paper investigates a representation language with flexibility inspi...
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Belief Updating and Learning in SemiQualitative Probabilistic Networks
This paper explores semiqualitative probabilistic networks (SQPNs) that...
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Complexity Analysis and Variational Inference for Interpretationbased Probabilistic Description Logic
This paper presents complexity analysis and variational methods for infe...
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Fabio Gagliardi Cozman
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Professor at the Engineering School (Escola Politénica) at University of Sao Paulo