Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
In this paper we present a novel approach for patternconstrained test case generation. The generation of test cases with known characteristics is usually a non-trivial task. In co...
In this paper, we present a control method for achieving biped static balance under unknown periodic external forces whose periods are only known. In order to maintain static balan...
We are studying the genetic influence on rates of age related muscle degeneration in C. elegans. For this, we built pattern recognition tools to calculate a morphological score gi...
Nikita Orlov, Josiah Johnston, Tomasz J. Macura, C...
One of the most important steps in text processing and information retrieval is stemming—reducing of words to stems expressing their base meaning, e.g., bake, baked, bakes, bakin...
Alexander F. Gelbukh, Mikhail Alexandrov, Sang-Yon...