The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
Manu Sharma, Michael P. Holmes, Juan Carlos Santam...
— We present a new motion planning framework that explicitly considers uncertainty in robot motion to maximize the probability of avoiding collisions and successfully reaching a ...
DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
The purpose of our ongoing efforts is to investigate the influence of web page design based on text-structure and user prior knowledge for information retrieval on the basis of na...
Recent text and speech processing applications such as speech mining raise new and more general problems related to the construction of language models. We present and describe in...