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ML
2006
ACM
15 years 6 months ago
Universal parameter optimisation in games based on SPSA
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
Levente Kocsis, Csaba Szepesvári
ICANN
2007
Springer
16 years 16 days ago
Multi-dimensional Recurrent Neural Networks
Abstract. Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properti...
Alex Graves, Santiago Fernández, Jürge...
ESWA
2008
134views more  ESWA 2008»
15 years 4 months ago
Neighborhood classifiers
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
Qinghua Hu, Daren Yu, Zongxia Xie
CVPR
2012
IEEE
13 years 8 months ago
Complex loss optimization via dual decomposition
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Mani Ranjbar, Arash Vahdat, Greg Mori
AIED
2005
Springer
15 years 12 months ago
Towards Data-Driven Design of a Peer Collaborative Agent
The research literature investigating the construction of tutorial dialogue and learning companion environments present parallel experiences in attempting to emulate what has been ...
Gahgene Gweon, Carolyn Penstein Rosé, Regan...