A classical learning problem in Inductive Inference consists of identifying each function of a given class of recursive functions from a finite number of its output values. Unifor...
We present a powerful meta-clustering technique called Iterative Double Clustering (IDC). The IDC method is a natural extension of the recent Double Clustering (DC) method of Slon...
Abstract. Advances in VLSI technology have lead to a tremendous increase in the density and number of devices that can be manufactured in a single microchip. One of the interesting...
Krishna V. Palem, Surendranath Talla, Weng-Fai Won...
We introduce discrete pushdown timed automata that are timed automata with integer-valued clocks augmented with a pushdown stack. A con guration of a discrete pushdown timed automa...
Zhe Dang, Oscar H. Ibarra, Tevfik Bultan, Richard ...
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...