We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal,...
Distributed cooperative engineering applications require consistent and long-term sharing of large volumes of data, which may cause conflicts due to concurrent read/write operatio...
nt programs, programming abstractions for data parallel programs, software model checking for confidentiality, electronic voting security, synthesis of interface specons for Java ...
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
: The performance of single-camera SLAM is improved when wide-angle optics provide a field of view greater than the 40 to 50 degrees lenses normally used in computer vision. The is...