Hidden geometry explains why kernel methods separate complex data so well

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...
IEEE

A Randomized Greedy Algorithm for the Pattern Fill Problem for DFM Applications

Abstract: This work deals with the dummy fill and negative fill insertion problem with constraints on the minimum and maximum pattern density within a moving rectangular window. It is shown that the ...
IEEE

Multi-layer Cortical Learning Algorithm for Forecasting Time-series Data with Smoothly Changing Variation Patterns

Abstract: This paper introduces the Decay Burst-based Multi-layered Cortical Learning Algorithm (Decay-BM-CLA), designed for forecasting time-series data with smoothly changing variation patterns. CLA ...
GitHub

This is the record for the Programming Courses

Day 1 – M01T01: Introduction to Java Programming, Data Types, Variables and Operators ...