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NLP
2000
13 years 11 months ago
Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
Georgios Paliouras, Vangelis Karkaletsis, Ion Andr...
ICML
2001
IEEE
14 years 8 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
ISMIR
2004
Springer
150views Music» more  ISMIR 2004»
14 years 1 months ago
Estimating The Tonality Of Polyphonic Audio Files: Cognitive Versus Machine Learning Modelling Strategies
In this paper we evaluate two methods for key estimation from polyphonic audio recordings. Our goal is to compare between a strategy using a cognition-inspired model and several m...
Emilia Gómez, Perfecto Herrera
ML
2012
ACM
388views Machine Learning» more  ML 2012»
12 years 3 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama
ISESE
2005
IEEE
14 years 1 months ago
Effects of pair programming at the development team level: an experiment
We studied the effects of pair programming in a team context on productivity, defects, design quality, knowledge transfer and enjoyment of work. Randomly formed three pair program...
Jari Vanhanen, Casper Lassenius