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» Learning from Logged Implicit Exploration Data
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110
Voted
CVPR
2005
IEEE
16 years 2 months ago
Pruning Training Sets for Learning of Object Categories
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Pero...
99
Voted
AIED
2005
Springer
15 years 6 months ago
On the Prospects of Intelligent Collaborative E-learning Systems
Collaborative learning is question-driven and open-ended by nature. Many of the techniques developed for intelligent tutoring are applicable only in more structured settings, but f...
Miikka Miettinen, Jaakko Kurhila, Henry Tirri
UAI
2003
15 years 2 months ago
On Local Optima in Learning Bayesian Networks
This paper proposes and evaluates the k-greedy equivalence search algorithm (KES) for learning Bayesian networks (BNs) from complete data. The main characteristic of KES is that i...
Jens D. Nielsen, Tomás Kocka, José M...
127
Voted
BMCBI
2010
193views more  BMCBI 2010»
14 years 7 months ago
Mayday - integrative analytics for expression data
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
Florian Battke, Stephan Symons, Kay Nieselt
80
Voted
VTC
2007
IEEE
15 years 7 months ago
Evaluation of Datacasting in the Mobile Environment
Abstract— Datacasting employs the excess bandwidth from digital television signals for use in one-way data transmission, and it is being used successfully for high-speed download...
Kent Chamberlin, Scott Valcourt, Andrew Kun, Benja...