In recent years, there has been a growing interest in using rich representations such as relational languages for reinforcement learning. However, while expressive languages have ...
Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Ma...
An important problem in many fields is the analysis of counts data to extract meaningful latent components. Methods like Probabilistic Latent Semantic Analysis (PLSA) and Latent ...
Madhusudana V. S. Shashanka, Bhiksha Raj, Paris Sm...
Abstract: The Eclipse infrastructure for modeling is based on EMF, an implementation of Essential MOF, the OMG standard for metamodeling. A recent addition to EMF has been parametr...
Model checking is a promising approach to automatic verification, which has concentrated on specification expressed in temporal logic. Comparatively little attention has been give...
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...