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NAACL
2010
14 years 11 months ago
Online Learning for Interactive Statistical Machine Translation
State-of-the-art Machine Translation (MT) systems are still far from being perfect. An alternative is the so-called Interactive Machine Translation (IMT) framework. In this framew...
Daniel Ortiz-Martínez, Ismael García...
GECCO
2008
Springer
121views Optimization» more  GECCO 2008»
15 years 2 months ago
Fast rule representation for continuous attributes in genetics-based machine learning
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
Jaume Bacardit, Natalio Krasnogor
CIKM
2006
Springer
15 years 5 months ago
Coupling feature selection and machine learning methods for navigational query identification
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
Yumao Lu, Fuchun Peng, Xin Li, Nawaaz Ahmed
JCSS
2008
138views more  JCSS 2008»
15 years 1 months ago
Reducing mechanism design to algorithm design via machine learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a broad class of re...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
ECAI
2004
Springer
15 years 7 months ago
Automatic Recognition of Famous Artists by Machine
The paper addresses the question whether it is possible for a machine to learn to distinguish and recognise famous musicians (concert pianists), based on their style of playing. We...
Gerhard Widmer, Patrick Zanon