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ICML
2004
IEEE
16 years 5 months ago
A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning
Hill-climbing search is the most commonly used search algorithm in ILP systems because it permits the generation of theories in short running times. However, a well known drawback...
Lourdes Peña Castillo, Stefan Wrobel
ML
2010
ACM
151views Machine Learning» more  ML 2010»
15 years 3 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
ICIP
2008
IEEE
16 years 6 months ago
Supervised methods for perfect segmentation in medical images
We pose the problem of perfect segmentation for regions with ambiguous boundaries. We design machine learning classifiers to identify boundaries and build these into an interactiv...
Tony Shepherd, Daniel C. Alexander
ICML
2009
IEEE
16 years 5 months ago
A majorization-minimization algorithm for (multiple) hyperparameter learning
We present a general Bayesian framework for hyperparameter tuning in L2-regularized supervised learning models. Paradoxically, our algorithm works by first analytically integratin...
Chuan-Sheng Foo, Chuong B. Do, Andrew Y. Ng
OZCHI
2009
ACM
15 years 11 months ago
Brute force interactions: leveraging intense physical actions in gaming
People use a wide range of intensity when interacting with computers, spanning from subtle to brute force. However, computer interfaces so far have mainly focused on interactions ...
Florian Mueller, Stefan Agamanolis, Frank Vetere, ...