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AAAI
2004
15 years 3 months ago
Bayesian Network Classifiers Versus k-NN Classifier Using Sequential Feature Selection
The aim of this paper is to compare Bayesian network classifiers to the k-NN classifier based on a subset of features. This subset is established by means of sequential feature se...
Franz Pernkopf
AAAI
2006
15 years 3 months ago
kFOIL: Learning Simple Relational Kernels
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
Niels Landwehr, Andrea Passerini, Luc De Raedt, Pa...
NIPS
1998
15 years 3 months ago
A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory
This paper presents a novel and fast k-NN classifier that is based on a binary CMM (Correlation Matrix Memory) neural network. A robust encoding method is developed to meet CMM in...
Ping Zhou, Jim Austin, John Kennedy
LOGCOM
2000
93views more  LOGCOM 2000»
15 years 1 months ago
The product of converse PDL and polymodal K
The product of two modal logics L1 and L2 is the modal logic determined by the class of frames of the form FG such that F and G validate L1 and L2, respectively. This paper proves...
Frank Wolter
ICDE
2009
IEEE
198views Database» more  ICDE 2009»
16 years 3 months ago
V*-kNN: An Efficient Algorithm for Moving k Nearest Neighbor Queries
This demonstration program presents the V*-kNN algorithm, an efficient algorithm to process moving k nearest neighbor queries (MkNN). The V*-kNN algorithm is based on a safe-region...
Sarana Nutanong, Rui Zhang, Egemen Tanin, Lars Kul...