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SIGIR
2008
ACM
15 years 6 months ago
Hierarchical naive bayes models for representing user profiles
In this paper, we show how a user profile can be enhanced when a more detailed description of the products is included. Two main assumptions have been considered: the first implie...
Juan F. Huete, Luis M. de Campos, Juan M. Fern&aac...
IJON
2007
106views more  IJON 2007»
15 years 6 months ago
Forecasting the CATS benchmark with the Double Vector Quantization method
The Double Vector Quantization (DVQ) method, a long-term forecasting method based on the self-organizing maps algorithm, has been used to predict the 100 missing values of the CAT...
Geoffroy Simon, John Aldo Lee, Marie Cottrell, Mic...
TCS
2008
15 years 6 months ago
Integration of a security type system into a program logic
Type systems and program logics are often conceived to be at opposing ends of the spectrum of formal software analyses. In this paper we show that a flow-sensitive type system ensu...
Reiner Hähnle, Jing Pan, Philipp Rümmer,...
TNN
2008
143views more  TNN 2008»
15 years 6 months ago
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...
Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada,...
JCSS
2007
116views more  JCSS 2007»
15 years 6 months ago
The most probable annotation problem in HMMs and its application to bioinformatics
Hidden Markov models (HMMs) are often used for biological sequence annotation. Each sequence feature is represented by a collection of states with the same label. In annotating a ...
Brona Brejová, Daniel G. Brown 0001, Tom&aa...
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