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1

Lecture notes: From Gaussian processes to feature learning
Helias, Moritz ; Lindner, Javed ; Schutzeichel, Lars ; et al.

Disordered Systems and N...
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2

Introducing Information Metrics for Statistical Signal Processing [Lecture Notes]
Kay, S. ; Adhikari, K. ; Guido, R.
IEEE Signal Processing Magazine IEEE Signal Process. Mag. Signal Processing Magazine, IEEE. 42(2):16-26 Mar, 2025

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3

Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning
Di Natale, Loris ; Lian, Yingzhao ; Maddalena, Emilio T. ; et al.
2022 IEEE 61st Conference on Decision and Control (CDC) Decision and Control (CDC), 2022 IEEE 61st Conference on. :1111-1117 Dec, 2022

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4

The Gaussian Data Assumption Leads to the Largest Cramér-Rao Bound [Lecture Notes]
Stoica, P. ; Babu, P.
IEEE Signal Processing Magazine IEEE Signal Process. Mag. Signal Processing Magazine, IEEE. 28(3):132-133 May, 2011

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5

Are All Full-Order Dynamic Compensators Observer Based? [Lecture Notes]
Rahman, Y. ; Bernstein, D.
IEEE Control Systems IEEE Control Syst. Control Systems, IEEE. 37(1):116-122 Feb, 2017

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7

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8

Understanding the Basis of the Kalman Filter Via a Simple and Intuitive Derivation [Lecture Notes]
Faragher, R.
IEEE Signal Processing Magazine IEEE Signal Process. Mag. Signal Processing Magazine, IEEE. 29(5):128-132 Sep, 2012

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9

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10

Lectures on Gaussian Processes
Mikhail Lifshits
SpringerBriefs in Mathematics ISBN: 9783642249389

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12

Best Unbiased Prediction for Gaussian and Log-Gaussian Processes
Cox, Dennis D.
Lecture Notes-Monograph Series, 2004 Jan 01. 44, 125-132.

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14

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15

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16

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17

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18

The Mathematics of Machine Learning : Lectures on Supervised Methods and Beyond
Maria Han Veiga ; François Gaston Ged ; Maria Han Veiga ; et al.

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19

The unreasonable effectiveness of number theory in science and communication (1987 Rayleigh Lecture)
Schroeder, M.R.
IEEE ASSP Magazine IEEE ASSP Mag. ASSP Magazine, IEEE. 5(1):5-12 Jan, 1988

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20

Empirical and Gaussian Processes on Besov Classes
Lecture Notes-Monograph Series, 2006 Jan 01. 51, 185-195.

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