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» Evaluating algorithms that learn from data streams
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ICML
2005
IEEE
16 years 8 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...
NLDB
2005
Springer
16 years 1 months ago
The Role of Word Sense Disambiguation in Automated Text Categorization
Abstract. Automated Text Categorization has reached the levels of accuracy of human experts. Provided that enough training data is available, it is possible to learn accurate autom...
José María Gómez Hidalgo, Man...
LREC
2010
149views Education» more  LREC 2010»
15 years 9 months ago
Paragraph Acquisition and Selection for List Question Using Amazon's Mechanical Turk
Creating more fine-grained annotated data than previously relevent document sets is important for evaluating individual components in automatic question answering systems. In this...
Fang Xu, Dietrich Klakow
EMMCVPR
2011
Springer
14 years 7 months ago
Optimization of Robust Loss Functions for Weakly-Labeled Image Taxonomies: An ImageNet Case Study
The recently proposed ImageNet dataset consists of several million images, each annotated with a single object category. However, these annotations may be imperfect, in the sense t...
Julian John McAuley, Arnau Ramisa, Tibério ...
BMVC
1998
15 years 9 months ago
Benchmarking of Bootstrap Temporal Stereo using Statistical and Physical Scene Modelling
Temporal stereo vision algorithms can offer improved robustness, however, this can only be delivered after several frames of a stereo image sequence have been processed. We presen...
S. Crossley, Neil A. Thacker, N. Luke Seed