We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
A partial evaluator, given a program and a known "static" part of its input data, outputs a specialised or residual program in which computations depending only on the st...
A novel online dynamic value system for machine learning is proposed in this paper. The proposed system has a dual network structure: data processing network (DPN) and information ...
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...
Continued scaling of CMOS technology to smaller transistor sizes makes modern processors more susceptible to both transient and permanent hardware faults. Circuitlevel techniques ...