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» Learning Gaussian processes from multiple tasks
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MLDM
2007
Springer
15 years 9 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
FLAIRS
2004
15 years 4 months ago
Recurrent Neural Networks and Pitch Representations for Music Tasks
We present results from experiments in using several pitch representations for jazz-oriented musical tasks performed by a recurrent neural network. We have run experiments with se...
Judy A. Franklin
JCST
2008
138views more  JCST 2008»
15 years 3 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003
147
Voted
IJCAI
2007
15 years 4 months ago
Bayesian Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Deepak Ramachandran, Eyal Amir
143
Voted
JUCS
2008
143views more  JUCS 2008»
15 years 3 months ago
Defining Tasks, Domains and Conversational Acts in CSCW Systems: the SPACE-DESIGN Case Study
: Most of the current academic and professional work requires collaboration between the members of a working group. Groupware tools play a prevailing role in supporting this collab...
Rafael Duque, Jesús Gallardo, Crescencio Br...