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Hidden Markov Models: Estimation and Control
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TLDR
This paper presents a meta-modelling procedure called Markov Model Processing that automates the very labor-intensive and therefore time-heavy and therefore expensive process of HMMEstimation.Citations
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Pattern Recognition and Machine Learning
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
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A review on machinery diagnostics and prognostics implementing condition-based maintenance
TL;DR: This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing CBM with emphasis on models, algorithms and technologies for data processing and maintenance decision-making.
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Recursive Macroeconomic Theory
TL;DR: In this paper, an introduction to recursive methods for dynamic macroeconomics is presented, including standard applications such as asset pricing, and advanced material, including analyses of reputational mechanisms and contract design.
Convolution kernels on discrete structures
TL;DR: A new method of constructing kernels on sets whose elements are discrete structures like strings, trees and graphs is introduced, which can be applied iteratively to build a kernel on a innnite set from kernels involving generators of the set.
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A Manifesto on Psychology as Idiographic Science: Bringing the Person Back Into Scientific Psychology, This Time Forever.
TL;DR: In this article, it is shown that the direct consequences of the classical ergodic theorems for psychology and psychometrics invalidate this conjectured generalizability: only under very strict conditions-which are hardly obtained in real psychological processes-can a generalization be made from a structure of interindividual variation to the analogous structure of intraindividual variation.