Robots possess many effectors and sensors of various capability. It is often difficult, not only to integrate these numerous capabilities, but also to organize them to accomplish ...
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
We present a framework for coordinating autonomous planning agents. Together, these agents have to achieve a set of interdependent (elementary) tasks. Each of the agents receives a...
This paper presents a new method for Word Sense Disambiguation based on the WordNet Domains lexical resource [4]. The underlaying working hypothesis is tha...
This paper centers on the discussion of k-medoid-style clustering algorithms for supervised summary generation. This task requires clustering techniques that identify class-unifor...