Abstract. This paper presents a robust method to correct for intensity differences across a series of aligned stained histological slices. The method is made up of two steps. First...
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
Relational reinforcement learning (RRL) is a Q-learning technique which uses first order regression techniques to generalize the Qfunction. Both the relational setting and the Q-l...
Privacy and security concerns can prevent sharing of data, derailing data mining projects. Distributed knowledge discovery, if done correctly, can alleviate this problem. The key ...
This paper provides a description of designers' work practices in a software company. We describe a participatory analysis of the diversity of working relations and roles of ...