A solution is proposed of the hitherto unsolved problem as to how neural feedforward through inverse modelling and negative feedback realised by a mechanical spring can be combined...
Karl-Theodor Kalveram, Thomas Schinauer, Steffen B...
Negative relevance feedback is a special case of relevance feedback where we do not have any positive example; this often happens when the topic is difficult and the search result...
This study investigates the effect gender has on the use of computer-based feedback and the impact that this feedback has on mood. The decision making process of men and women are...
Abstract In this paper, we present a human-robot teaching framework that uses "virtual" games as a means for adapting a robot to its user through natural interaction in a...
Relevance feedback has been demonstrated to be an effective strategy for improving retrieval accuracy. The existing relevance feedback algorithms based on language models and vect...
In 2001 we started a new project at our company. Undermanned, short on time, and under the gun to succeed, we knew that we needed a process that would help us stay on track. Unfor...
In this paper, we present a model for simulating the evolution of development together with a method for the analysis of emergence of negative feedback inside the regulatory networ...
Till Steiner, Lisa Schramm, Yaochu Jin, Bernhard S...
We investigate how positive, neutral and negative feedback responses from an Intelligent Tutoring System (ITS) influences learners‟ affect and physiology. AutoTutor, an ITS with ...
Payam Aghaei Pour, M. Sazzad Hussain, Omar AlZoubi...
— The ability for people to interact with robots and teach them new skills will be crucial to the successful application of robots in everyday human environments. In order to des...