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ECAI
2004
Springer
13 years 10 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
ECAI
2004
Springer
13 years 10 months ago
Generating Random Bayesian Networks with Constraints on Induced Width
We present algorithms for the generation of uniformly distributed Bayesian networks with constraints on induced width. The algorithms use ergodic Markov chains to generate samples....
Jaime Shinsuke Ide, Fabio Gagliardi Cozman, Fabio ...
ATAL
2004
Springer
13 years 10 months ago
A Bayes Net Approach to Argumentation
Argumentation-based negotiation approaches have been proposed to present realistic negotiation contexts. This paper presents a novel Bayesian network based argumentation and decis...
Sabyasachi Saha, Sandip Sen
RSFDGRC
2005
Springer
208views Data Mining» more  RSFDGRC 2005»
13 years 10 months ago
On the Complexity of Probabilistic Inference in Singly Connected Bayesian Networks
Abstract. In this paper, we revisit the consensus of computational complexity on exact inference in Bayesian networks. We point out that even in singly connected Bayesian networks,...
Dan Wu, Cory J. Butz
ILP
2005
Springer
13 years 10 months ago
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models
Abstract. Logical Bayesian Networks (LBNs) have recently been introduced as another language for knowledge based model construction of Bayesian networks, besides existing languages...
Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe...
ICIC
2005
Springer
13 years 10 months ago
Automatic Construction of Bayesian Networks for Conversational Agent
Abstract. As the information in the internet proliferates, the methods for effectively providing the information have been exploited, especially in conversational agents. Bayesian ...
Sungsoo Lim, Sung-Bae Cho
ECSQARU
2005
Springer
13 years 10 months ago
Hydrologic Models for Emergency Decision Support Using Bayesian Networks
In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited numb...
Martín Molina, Raquel Fuentetaja, Luis Garr...
AIED
2005
Springer
13 years 10 months ago
Tradeoff analysis between knowledge assessment approaches
Abstract: The problem of modeling and assessing an individual’s ability level is central to learning environments. Numerous approaches exists to this end. Computer Adaptive Testi...
Michel Desmarais, Shunkai Fu, Xiaoming Pu
AIED
2005
Springer
13 years 10 months ago
Developing a Bayes-net based student model for an External Representation Selection Tutor
Abstract. This paper describes the process by which we are constructing an intelligent tutoring system (ERST) designed to improve learners’ external representation (ER) selection...
Beate Grawemeyer, Richard Cox
KBSE
2005
IEEE
13 years 10 months ago
Automated population of causal models for improved software risk assessment
Recent work in applying causal modeling (Bayesian networks) to software engineering has resulted in improved decision support systems for software project managers. Once the causa...
Peter Hearty, Norman E. Fenton, Martin Neil, Patri...