TY - GEN
T1 - A new Bayesian network structure for classification tasks
AU - Madden, Michael G.
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
PY - 2002
Y1 - 2002
N2 - This paper introduces a new Bayesian network structure, named a Partial Bayesian Network (PBN), and describes an algorithm for constructing it. The PBN is designed to be used for classification tasks, and accordingly the algorithm constructs an approximate Markov blanket around a classification node. Initial experiments have compared the performance of the PBN algorithm with Naïve Bayes, Tree-Augmented Naïve Bayes and a general Bayesian network algorithm (K2). The results indicate that PBN performs better than other Bayesian network classification structures on some problem domains.
AB - This paper introduces a new Bayesian network structure, named a Partial Bayesian Network (PBN), and describes an algorithm for constructing it. The PBN is designed to be used for classification tasks, and accordingly the algorithm constructs an approximate Markov blanket around a classification node. Initial experiments have compared the performance of the PBN algorithm with Naïve Bayes, Tree-Augmented Naïve Bayes and a general Bayesian network algorithm (K2). The results indicate that PBN performs better than other Bayesian network classification structures on some problem domains.
UR - https://www.scopus.com/pages/publications/78650176523
U2 - 10.1007/3-540-45750-x_27
DO - 10.1007/3-540-45750-x_27
M3 - Conference Publication
AN - SCOPUS:78650176523
T3 - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
SP - 203
EP - 208
BT - Artificial Intelligence and Cognitive Science - 13th Irish Conference, AICS 2002, Proceedings
A2 - O’Neill, Michael
A2 - Sutcliffe, Richard F. E.
A2 - Ryan, Conor
A2 - Eaton, Malachy
A2 - Griffith, Niall J. L.
PB - Springer-Verlag
T2 - 13th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2002
Y2 - 12 September 2002 through 13 September 2002
ER -