TY - GEN
T1 - Learning naive Bayes models for multiple-instance learning with label proportions
AU - Hernández-González, Jerónimo
AU - Inza, Iñaki
PY - 2011
Y1 - 2011
N2 - This paper deals with the problem of multi-instance learning when label proportions are provided. In this classification problem, the instances of the dataset are divided into disjoint groups, where there is no certainty about the labels associated with individual samples. However, in each group the number of instances that belong to each class is known. We propose several versions of an EM-algorithm that learns naive Bayes models to deal with the exposed problem. The proposed algorithms are evaluated on synthetic and real datasets, and compared with state-of-the-art approaches. The obtained results show a competitive behaviour of our proposals.
AB - This paper deals with the problem of multi-instance learning when label proportions are provided. In this classification problem, the instances of the dataset are divided into disjoint groups, where there is no certainty about the labels associated with individual samples. However, in each group the number of instances that belong to each class is known. We propose several versions of an EM-algorithm that learns naive Bayes models to deal with the exposed problem. The proposed algorithms are evaluated on synthetic and real datasets, and compared with state-of-the-art approaches. The obtained results show a competitive behaviour of our proposals.
KW - EM algorithm
KW - Multiple-instance learning with label proportions
KW - Naive Bayes
KW - supervised classification
UR - https://www.scopus.com/pages/publications/81055149948
U2 - 10.1007/978-3-642-25274-7_14
DO - 10.1007/978-3-642-25274-7_14
M3 - Conference proceeding
AN - SCOPUS:81055149948
SN - 9783642252730
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 134
EP - 144
BT - Advances in Artificial Intelligence - 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, Proceedings
PB - Springer Verlag
T2 - 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011
Y2 - 7 November 2011 through 11 November 2011
ER -