L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
Many existing researches utilized many different approaches for recognition in digital mammography using various ANN classifier-modeling techniques. Different types of feature extr...
The huge volumes of unstructured texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information...
: We present a vision-based robotic system which uses a combination of several active sensing strategies to grip a free-standing small target object with an initially unknown posit...
Benjamin Deutsch, Frank Deinzer, Matthias Zobel, J...