Density ratio model with data-adaptive basis function

Adaptive local Radial Basis Function network

nonstationary channel equalisation problem Eng-Siong Chng y 1, Howard Yang z, Herbert Wiklickyz y Institute of Systems Science, National University of Singapore, Singapore 11957. Email : [email protected] z Brain Information Processing Group, Frontier Research Programme, RIKEN. 2-1 Hirosawa, Wako-shi, Saitama 351-01, JAPAN. Abstract| The computational requirement to implement the optimal Bayesi...

Locally Adaptive Density Ratio for Detecting Novelty in Twitter Streams

With the massive growth of social data, a huge attention has been given to the task of detecting key topics in the Twitter stream. In this paper, we propose the use of novelty detection techniques for identifying both emerging and evolving topics in new tweets. In specific, we propose a locally adaptive approach for density-ratio estimation in which the density ratio between new and reference d...

Ratio Pulse Arithmetic for Radial Basis Function Network

Ratio pulse arithmetic represents a signal with a random pulse stream and its value is defined as the ratio of ones and zeroes in its random pulse stream. We propose circuits for the exponential function and subtraction, and explain how to implement a radial basis function(RBF) network. We applied the RBF network to a classifier example. Simulation results show that its performance is comparabl...

Adaptive pointwise estimation of conditional density function

Adaptive model predictive control with exploring property for constrained linear systems that uses basis function model parametrization

This manuscript contains technical details of recent results developed by the authors on adaptive model predictive control for constrained linear systems that exhibits exploring property and uses basis function model parametrization.