书名:AMatrixAlgebraApproachtoArtificialIntelligence 作者:Xian-DaZhang 出版社:Springer 译者: 出版日期:2021-3 页数: ISBN:9789811527722 | 0.0 豆瓣评分 | 当当购书 | AI搜索 | B站搜索 | 百度搜索 |
Matrixalgebraplaysanimportantroleinmanycoreartificialintelligence(AI)areas,includingmachinelearning,neuralnetworks,supportvectormachines(SVMs)andevolutionarycomputation.Thisbookoffersacomprehensiveandin-depthdiscussionofmatrixalgebratheoryandmethodsforthesefourcoreareasofAI,whilealsoapproachingAIfromatheoreticalmatrixalgebraperspective.
Thebookconsistsoftwoparts:thefirstdiscussesthefundamentalsofmatrixalgebraindetail,whilethesecondfocusesontheapplicationsofmatrixalgebraapproachesinAI.Highlightingmatrixalgebraingraph-basedlearningandembedding,networkembedding,convolutionalneuralnetworksandParetooptimizationtheory,anddiscussingrecenttopicsandadvances,thebookoffersavaluableresourceforscientists,engineers,andgraduatestudentsinvariousdisciplines,including,butnotlimitedto,computerscience,mathematicsandengineering.
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