By Sohail Bahmani

This thesis demonstrates options that offer speedier and extra exact ideas to a number of difficulties in computer studying and sign processing. the writer proposes a "greedy" set of rules, deriving sparse recommendations with promises of optimality. using this set of rules gets rid of some of the inaccuracies that happened with using past models.

Show description

Read Online or Download Algorithms for Sparsity-Constrained Optimization: 261 (Springer Theses) PDF

Similar machine theory books

Download PDF by Hitoshi Iba: Agent-Based Modeling and Simulation with Swarm (Chapman &

Swarm-based multi-agent simulation ends up in larger modeling of projects in biology, engineering, economics, paintings, and plenty of different parts. It additionally allows an knowing of advanced phenomena that can not be solved analytically. Agent-Based Modeling and Simulation with Swarm offers the technique for a multi-agent-based modeling technique that integrates computational suggestions reminiscent of synthetic lifestyles, mobile automata, and bio-inspired optimization.

Theory and Practice of Natural Computing: Fourth - download pdf or read online

This publication constitutes the refereed lawsuits of the 4thInternational convention on conception and perform of normal Computing, TPNC2015, held in Mieres, Spain, in December 2015. The 12 revised complete papers provided togetherwith 20 invited talks during this e-book have been conscientiously reviewed and chosen from 30submissions.

Read e-book online Categories and Computer Science (Cambridge Computer Science PDF

Classification idea has develop into more and more vital and renowned in laptop technology, and plenty of universities now have introductions to class concept as a part of their classes for undergraduate computing device scientists. the writer is a revered classification theorist and has established this textbook on a path given during the last few years on the collage of Sydney.

Download e-book for iPad: Matrix and Tensor Factorization Techniques for Recommender by Panagiotis Symeonidis,Andreas Zioupos

This booklet provides the algorithms used to supply techniques by means of exploiting matrix factorization and tensor decomposition options. It highlights recognized decomposition tools for recommender platforms, reminiscent of Singular price Decomposition (SVD), UV-decomposition, Non-negative Matrix Factorization (NMF), and so on.

Additional resources for Algorithms for Sparsity-Constrained Optimization: 261 (Springer Theses)

Example text

Download PDF sample

Algorithms for Sparsity-Constrained Optimization: 261 (Springer Theses) by Sohail Bahmani


by Edward
4.5

Rated 4.61 of 5 – based on 12 votes