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ICML
2005
IEEE
16 years 2 months ago
Predicting probability distributions for surf height using an ensemble of mixture density networks
There is a range of potential applications of Machine Learning where it would be more useful to predict the probability distribution for a variable rather than simply the most lik...
Michael Carney, Padraig Cunningham, Jim Dowling, C...
ICML
2005
IEEE
16 years 2 months ago
Multi-way distributional clustering via pairwise interactions
We present a novel unsupervised learning scheme that simultaneously clusters variables of several types (e.g., documents, words and authors) based on pairwise interactions between...
Ron Bekkerman, Ran El-Yaniv, Andrew McCallum
ICSE
2004
IEEE-ACM
16 years 1 months ago
Managing Commitments and Risks: Challenges in Distributed Agile Development
Software development is always a challenging undertaking and it requires high commitments from individuals who participate in it. Software development often involves new technolog...
Jan Rydén, Jyrki Kontio, Magnus Höglun...
EELC
2006
128views Languages» more  EELC 2006»
15 years 5 months ago
Evolving Distributed Representations for Language with Self-Organizing Maps
We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
Simon D. Levy, Simon Kirby
ICRA
2008
IEEE
134views Robotics» more  ICRA 2008»
15 years 7 months ago
Real-time learning of resolved velocity control on a Mitsubishi PA-10
Abstract— Learning inverse kinematics has long been fascinating the robot learning community. While humans acquire this transformation to complicated tool spaces with ease, it is...
Jan Peters, Duy Nguyen-Tuong