Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...
Abstract. While traditional approaches to machine learning are sensitive to highdimensional state and action spaces, this paper demonstrates how an indirectly encoded neurocontroll...
Abstract—In this paper we present a Multithreaded programming methodology for multi-core systems that utilizes DataFlow concurrency. The programmer augments the program with macr...
Abstract. Code generation from models is the ultimate goal of model-based design. For real-time systems the generated code must be analyzable for the worstcase execution time (WCET...
Martin Schoeberl, Christopher Brooks, Edward A. Le...
Abstract. A previous paper [2] presented a model (UCPF-HC) of the hippocampus as a unitary coherent particle filter, which combines the classical hippocampal roles of associative m...