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» Formal Concepts of Learning Systems Validation in Use
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ACTAC
2006
126views more  ACTAC 2006»
15 years 6 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...
AI
2001
Springer
15 years 10 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
CC
2009
Springer
153views System Software» more  CC 2009»
15 years 4 months ago
From Specification to Optimisation: An Architecture for Optimisation of Java Bytecode
We present the architecture of the Rosser toolkit that allows optimisations to be specified in a domain specific language, then compiled and deployed towards optimising object prog...
Richard Warburton, Sara Kalvala
ENTCS
2002
91views more  ENTCS 2002»
15 years 6 months ago
Petri nets with causal time for system verification
We present a new approach to the modelling of time constrained systems. It is based on untimed high-level Petri nets using the concept of causal time. With this concept, the progr...
Cécile Bui Thanh, Hanna Klaudel, Franck Pom...
TKDE
2008
116views more  TKDE 2008»
15 years 6 months ago
Long-Term Cross-Session Relevance Feedback Using Virtual Features
Relevance feedback (RF) is an iterative process, which refines the retrievals by utilizing the user's feedback on previously retrieved results. Traditional RF techniques solel...
Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang, Anlei...