Classical branching programs are studied to understand the space complex...
The agnostic setting is the hardest generalization of the PAC model sinc...
Amplitude filtering is concerned with identifying basis-states in a
supe...
Categorical attributes are those that can take a discrete set of values,...
In this work, we present a dimensionality reduction algorithm, aka.
sket...
Boosting is an ensemble learning method that converts a weak learner int...
We study the problem of determining if the mode of the output distributi...
Non-linearity of a Boolean function indicates how far it is from any lin...
The Quantum Alternating Operator Ansatz (QAOA+) framework has recently g...
Journal Impact Factor is a popular metric for determining the quality of...
The ubiquity of GPS enabled devices result into the generation of an eno...
High-utility itemset mining finds itemsets from a transaction database w...
Recent advancement of the WWW, IOT, social network, e-commerce, etc. hav...
We give a technique to reduce the error probability of quantum algorithm...
High-utility Itemset Mining (HUIM) finds itemsets from a transaction dat...
In this paper we design quantum algorithms for studying the autocorrelat...
The importance of geo-spatial data in critical applications such as emer...