Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
abstract appeared in Proc. 24th Annual Symposium of Computational Geometry (SoCG), 2008, pp. 338-345. S. Shannigrahi and S. P. Pal, "Efficient Prufer-like Coding and Counting ...
Jaikumar Radhakrishnan, Smit Shah 0001, Saswata Sh...
The distribution of resources among processors, memory and caches is a crucial question faced by designers of large-scale parallel machines. If a machine is to solve problems with...
Abstract. Turing machines exposed to a small stochastic noise are considered. An exact characterisation of their (≈ Π0 2 ) computational power (as noise level tends to 0) is obt...
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...