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ACTAC
2006
126views more  ACTAC 2006»
15 years 1 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
114
Voted
ICMCS
2007
IEEE
145views Multimedia» more  ICMCS 2007»
15 years 8 months ago
MUSEMBLE: A Music Retrieval System Based on Learning Environment
Query reformulation has been suggested as an effective way to improve retrieval efficiency in text information retrieval and one of the well-known techniques for query reformulati...
Seungmin Rho, Byeong-jun Han, Eenjun Hwang, Minkoo...
ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
15 years 3 months ago
Adaptive strategies for predicting bidding prices in supply chain management
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...
Yevgeniya Kovalchuk, Maria Fasli
NECO
2007
129views more  NECO 2007»
15 years 1 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
GECCO
2006
Springer
145views Optimization» more  GECCO 2006»
15 years 5 months ago
Immune anomaly detection enhanced with evolutionary paradigms
The paper presents an approach based on principles of immune systems to the anomaly detection problem. Flexibility and efficiency of the anomaly detection system are achieved by b...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...