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99
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ECML
2006
Springer
15 years 7 months ago
Learning in One-Shot Strategic Form Games
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
Alon Altman, Avivit Bercovici-Boden, Moshe Tennenh...
MMM
2007
Springer
114views Multimedia» more  MMM 2007»
15 years 9 months ago
Mining Multiple Visual Appearances of Semantics for Image Annotation
This paper investigates the problem of learning the visual semantics of keyword categories for automatic image annotation. Supervised learning algorithms which learn only a single ...
Hung-Khoon Tan, Chong-Wah Ngo
142
Voted
WSDM
2009
ACM
140views Data Mining» more  WSDM 2009»
15 years 10 months ago
Effective latent space graph-based re-ranking model with global consistency
Recently the re-ranking algorithms have been quite popular for web search and data mining. However, one of the issues is that those algorithms treat the content and link informati...
Hongbo Deng, Michael R. Lyu, Irwin King
ICML
2006
IEEE
16 years 4 months ago
Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In speech recognition, for example, an acoustic signal is...
Alex Graves, Faustino J. Gomez, Jürgen Schmid...
110
Voted
ICML
2001
IEEE
16 years 4 months ago
Expectation Maximization for Weakly Labeled Data
We call data weakly labeled if it has no exact label but rather a numerical indication of correctness of the label "guessed" by the learning algorithm - a situation comm...
Yuri A. Ivanov, Bruce Blumberg, Alex Pentland