GitHub

Second-price-auction-algorithm-based-on-total-Profit-maximization

This algorithm will be compared with the other two algorithms (the second price auction algorithm and the first price auction algorithm). Through the Control variates, it will verify that the ...
GitHub

expectation-maximization-algorithm

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative ...
IEEE

Expectation-maximization algorithm for topic modeling on big data streams

Abstract: Expectation-Maximization (EM) is typically used to compute maximum likelihood estimates given incomplete samples and estimated the parameters. We proposed a new algorithm for generating an ...
IEEE

Bayesian k-Means as a “Maximization-Expectation” Algorithm

Abstract: We introduce a new class of “maximization-expectation” (ME) algorithms where we maximize over hidden variables but marginalize over random parameters. This reverses the roles of expectation ...
Microsoft

A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator

This paper studies the fair influence maximization problem with efficient algorithms. In particular, given a graph G, a community structure C consisting of disjoint communities, and a budget k, the ...
Business Wire

Flux Power Awarded Patent for an Intelligent Battery Cycle Life Maximization Algorithm, Pioneering the Future of AI-Driven Energy Optimization

VISTA, Calif.--(BUSINESS WIRE)--Flux Power Holdings, Inc. (NASDAQ: FLUX), a leading developer of advanced lithium-ion energy storage solutions and software-driven electrification for commercial and ...