— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
Abstract. We present a framework for the declarative diagnosis of nondeterministic timed concurrent constraint programs. We present a denotational semantics based on a (continuous)...
Moreno Falaschi, Carlos Olarte, Catuscia Palamides...
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
We address the volumetric reconstruction problem that takes as input a series of orthographic multi-energy x-ray images, producing as output a reconstructed model space consisting...
Sang N. Le, Mei Kay Lee, Shamima Banu, Anthony C. ...