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» The Dark Side of Object Learning: Learning Objects
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ML
2006
ACM
131views Machine Learning» more  ML 2006»
15 years 4 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
ETS
2002
IEEE
201views Hardware» more  ETS 2002»
15 years 4 months ago
Case study on technology and distance in education at the Harvard Business School
For almost a century, the Harvard Business School has used case studies as the basis for experiential learning in both MBA and Executive Education courses. This article presents a...
Brian J. DeLacey, Dorothy A. Leonard
ML
2012
ACM
385views Machine Learning» more  ML 2012»
13 years 12 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe
CVPR
2007
IEEE
16 years 6 months ago
A boosting regression approach to medical anatomy detection
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu
CRV
2009
IEEE
158views Robotics» more  CRV 2009»
15 years 11 months ago
Automated Spatial-Semantic Modeling with Applications to Place Labeling and Informed Search
This paper presents a spatial-semantic modeling system featuring automated learning of object-place relations from an online annotated database, and the application of these relat...
Pooja Viswanathan, David Meger, Tristram Southey, ...