Despite of the importance of lexical resources for a number of NLP applications (Machine Translation, Information Extraction, Event Detection and Tracking, Question Answering, amo...
This paper presents a methodology for integrating features within the occupancy grid (OG) framework. The OG maps provide a dense representation of the environment. In particular t...
Amit Kumar Pandey, K. Madhava Krishna, Mainak Nath
Distributed learning is a problem of fundamental interest in machine learning and cognitive science. In this paper, we present asynchronous distributed learning algorithms for two...
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...