A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
Due to the ever increasing system complexity, deciding whether a given platform is sufficient to implement a set of applications under given constraints becomes a serious bottlene...
Most coreference resolution models determine if two mentions are coreferent using a single function over a set of constraints or features. This approach can lead to incorrect deci...
Abstract--Many efforts are centered around creating largescale networks of "smart things" found in the physical world (e.g., wireless sensor and actuator networks, embedd...
Abstract. This paper describes a framework for the design space exploration of resource-efficient software-defined radio architectures. This design space exploration is based on a ...
Thorsten Jungeblut, Ralf Dreesen, Mario Porrmann, ...