Abstract— This paper presents a tactile language for controlling a robot through its artificial skin. This language greatly improves the multimodal human-robot communication by ...
We extend stochastic context-free grammars such that the probability of applying a production can depend on the length of the subword that is generated from the application and sho...
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
We describe the design of a runtime system for a fine-grained concurrent object-oriented (actor) language and its performance. The runtime system provides considerable flexibility...
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...