標(biāo)題: Titlebook: Linear Algebra and Optimization for Machine Learning; A Textbook Charu C. Aggarwal Textbook 2020 Springer Nature Switzerland AG 2020 Linear [打印本頁] 作者: 摩擦 時間: 2025-3-21 19:11
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書目名稱Linear Algebra and Optimization for Machine Learning讀者反饋學(xué)科排名
作者: 猛擊 時間: 2025-3-21 20:58 作者: 去掉 時間: 2025-3-22 00:33 作者: ETCH 時間: 2025-3-22 05:48
Constrained Optimization and Duality,over the region of the optimization space that satisfies these constraints. This region is referred to as the . in optimization parlance. The straightforward use of a gradient-descent procedure does not work, because an unconstrained step might move the optimization variables outside the feasible re作者: Affluence 時間: 2025-3-22 09:01 作者: 讓你明白 時間: 2025-3-22 14:52 作者: Enrage 時間: 2025-3-22 18:15 作者: jagged 時間: 2025-3-22 22:59
The Linear Algebra of Graphs,pplications are conceptually represented as optimization problems on graphs. Graph matrices have a number of useful algebraic properties, which can be leveraged in machine learning. There are close connections between kernels and the linear algebra of graphs; a classical application that naturally b作者: 季雨 時間: 2025-3-23 02:37 作者: Insul島 時間: 2025-3-23 06:07
nsspektrum als gleichwertige oder überlegene Methode im Vergleich zu konservativen oder chirurgischen Therapien der chronischen arteriellen Verschlusskrankheit durchgesetzt [.] (siehe auch Kapitel 2.7). Dabei wird die Ballonangioplastie alleine oder in Kombination mit anderen perkutanen transluminal作者: 愛社交 時間: 2025-3-23 13:26 作者: 字的誤用 時間: 2025-3-23 17:52 作者: 咯咯笑 時間: 2025-3-23 21:00
Charu C. Aggarwal gro?e Varianten mit überschneidungsm?glichkeiten. Rein zystische Prozesse lassen sich schon im Ultraschall eindeutig kl?ren und bedürfen keiner weiteren interventionellen Abkl?rung. Neben den prim?ren dysontogenetischen Milzzysten entstehen die h?ufigeren sekund?ren Formen aufgrund eines Milztrauma作者: ALB 時間: 2025-3-24 00:10 作者: 殺子女者 時間: 2025-3-24 03:23
Charu C. Aggarwalen behandelt (Lüderitz u. Manz 1992). Die Behandlung dieser Rhythmusst?rungen war bis vor kurzem noch die Dom?ne der medikament?sen Therapie. H?ufiges Therapieversagen, proarrhythmische Effekte und die Notwendigkeit jahrzehntelanger Medikamenteneinnahme haben zur Entwicklung alternativer, d. h. nich作者: 六邊形 時間: 2025-3-24 06:54
Charu C. Aggarwaltry-kreisen“ das h?ufigste zugrundeliegende arrhythmogene Substrat der Tachykardie (Garson et al. 1989; Gillette et al. 1977; Moro et al. 1988). Es werden neben der empirischen medikament?sen Therapie immer mehr Patienten einer kurativen Radiofrequenzkatheterablation zugeführt (Lesh et al. 1994; Pot作者: 不透明性 時間: 2025-3-24 14:35 作者: 有毛就脫毛 時間: 2025-3-24 18:19
Matrix Factorization,on to occur, the value of . must be equal to at least the rank of .. This is because the rank of . is at most equal to the minimum of the ranks of . and .. In practice, it is common to perform . factorization with much smaller values of . than the rank of ..作者: 關(guān)節(jié)炎 時間: 2025-3-24 21:02
Linear Algebra and Optimization: An Introduction,ble might be a binary diagnosis of cancer. Such models are sometimes expressed as linear and nonlinear relationships between variables. These relationships are discovered in a data-driven manner by optimizing (maximizing) the “agreement” between the models and the observed data. This is an optimization problem.作者: 上流社會 時間: 2025-3-25 01:37
Linear Transformations and Linear Systems,e collections of row vectors and column vectors define .. In this chapter, we will introduce the basic properties of vector spaces and their connections to solving linear systems of equations. This problem is also a special case of the problem of linear regression, which is one of the fundamental building blocks of machine learning.作者: Inexorable 時間: 2025-3-25 05:50
The Linear Algebra of Similarity,this important class of methods in machine learning. The real utility of such methods arises when the similarity matrix is chosen differently from the use of dot products (and the data matrix is sometimes not even available).作者: 過于光澤 時間: 2025-3-25 08:50 作者: oxidant 時間: 2025-3-25 14:17
Textbook 2020 A solution manual for the exercises at the end of each chapter is available to teaching instructors. This textbook targets graduate level students and professors in computer science, mathematics and data science. Advanced undergraduate students can also use this textbook. The chapters for this text作者: Forehead-Lift 時間: 2025-3-25 17:59 作者: 撕裂皮肉 時間: 2025-3-26 00:03 作者: 沒花的是打擾 時間: 2025-3-26 04:00
Constrained Optimization and Duality,over the region of the optimization space that satisfies these constraints. This region is referred to as the . in optimization parlance. The straightforward use of a gradient-descent procedure does not work, because an unconstrained step might move the optimization variables outside the feasible region of the optimization problem.作者: 山頂可休息 時間: 2025-3-26 07:10
The Linear Algebra of Graphs,pplications are conceptually represented as optimization problems on graphs. Graph matrices have a number of useful algebraic properties, which can be leveraged in machine learning. There are close connections between kernels and the linear algebra of graphs; a classical application that naturally belongs to both fields is . (cf. Section 10.5).作者: 含沙射影 時間: 2025-3-26 08:40
Eigenvectors and Diagonalizable Matrices,Any square matrix . of size .?×?. can be considered a linear operator, which maps the .-dimensional column vector . to the .-dimensional vector .. A linear transformation . is a combination of operations such as rotations, reflections, and scalings of a vector ..作者: Adrenaline 時間: 2025-3-26 15:56 作者: 無彈性 時間: 2025-3-26 17:15
Charu C. AggarwalFirst textbook to provide an integrated treatment of linear algebra and optimization with a special focus on machine learning issues.Includes many examples to simplify exposition and facilitate in lea作者: IRATE 時間: 2025-3-26 23:13
http://image.papertrans.cn/l/image/586273.jpg作者: Soliloquy 時間: 2025-3-27 03:52
978-3-030-40346-1Springer Nature Switzerland AG 2020作者: prodrome 時間: 2025-3-27 07:29 作者: 使虛弱 時間: 2025-3-27 10:46
no-sen sowie Ballons mit speziellen Eigenschaften, z. B. für die Stentapplikation, entwickelt worden. Wesentliche Neuentwicklungen sind auf diesem Gebiet nach Ansicht der Autoren nicht zu erwarten. Eine Ausnahme stellen hier neue Ballonkonzepte wie z. B. der cutting balloon dar, auf die weiter unten作者: 任命 時間: 2025-3-27 15:01 作者: Demulcent 時間: 2025-3-27 18:28
Charu C. Aggarwal der Milzarterie sind. Sie entstehen meist aufgrund peripherer Embolien der Herzerkrankungen, aus Aneurysmen einer Milzarterie oder als lokale Thrombosen von peripheren Arterien bei myeloproliferativen Erkrankungen. Wenn der Befund nicht sonomorphologisch eindeutig ist, kann die ultraschallgesteuert作者: Cosmopolitan 時間: 2025-3-28 00:38
Charu C. Aggarwal der Milzarterie sind. Sie entstehen meist aufgrund peripherer Embolien der Herzerkrankungen, aus Aneurysmen einer Milzarterie oder als lokale Thrombosen von peripheren Arterien bei myeloproliferativen Erkrankungen. Wenn der Befund nicht sonomorphologisch eindeutig ist, kann die ultraschallgesteuert作者: deactivate 時間: 2025-3-28 03:29 作者: Gorilla 時間: 2025-3-28 08:04
Charu C. Aggarwalng der in der Mehrzahl jungen, sonst herzgesunden Patienten einher. Obwohl bereits 1982 das nichtoperative alternative Therapieverfahren der Katheterablation mit Gleichstrom von Gallagher u. Scheinman erstmals klinisch eingesetzt wurde, fand die Methode in den folgenden Jahren wegen teilweise erhebl作者: EPT 時間: 2025-3-28 13:14
Charu C. Aggarwallfe elektromagnetischer Technologie eine dreidimensionale farbkodierte Visualisierung der Aktivierungssequenz bei Tachykardie in bezug zu den anatomischen Strukturen (Gepstein et al. 1997; Nimmermann et al. 1998). Durch die reproduzierbare r?umliche Positionierung des CARTO-Katheters in der jeweilig作者: 調(diào)整校對 時間: 2025-3-28 18:00
Linear Algebra and Optimization for Machine LearningA Textbook作者: 發(fā)現(xiàn) 時間: 2025-3-28 19:22
Linear Algebra and Optimization for Machine Learning978-3-030-40344-7作者: Desert 時間: 2025-3-29 00:06
Optimization Basics: A Machine Learning View, models for classification were often motivated as modifications of the least-squares regression model. The main difference between least-squares regression and classification is that the predicted target variable is numerical in the former, whereas it is discrete (typically binary) in the latter. T作者: 重力 時間: 2025-3-29 04:57
Textbook 2020near algebra methods with examples from machine learning differentiates this book from generic volumes on linear algebra. The focus is clearly on the most relevant aspects of linear algebra for machine learning and to teach readers how to apply these concepts..2. Optimization and its applications: M作者: Fraudulent 時間: 2025-3-29 08:45
9樓作者: linear 時間: 2025-3-29 11:36
9樓作者: bifurcate 時間: 2025-3-29 17:54
10樓作者: 猜忌 時間: 2025-3-29 21:52
10樓作者: GIDDY 時間: 2025-3-30 02:46
10樓作者: 初學(xué)者 時間: 2025-3-30 05:04
10樓
