等待
发表于 2025-3-23 10:33:02
https://doi.org/10.1007/978-3-642-51833-1Data is being generated in an ever increasing rate by all kinds of human endeavors. A sizable fraction of this data appears in the form of time-series or can be converted to this form.
receptors
发表于 2025-3-23 17:08:35
Commentar zur Pharmacopoea GermanicaChange point discovery (CPD) is one of the most relied upon technologies in this book.
flaggy
发表于 2025-3-23 21:31:44
Commentar zur Pharmacopoea GermanicaA recurring problem in the second part of this book is the problem of discovering recurrent patterns in long multidimensional time-series. This chapter introduces some of the algorithms that can be employed in solving this kind of problems for both discrete and continuous time-series.
Neuropeptides
发表于 2025-3-24 01:30:11
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枕垫
发表于 2025-3-24 06:04:19
Commentar zur Pharmacopoea GermanicaSocial robotics is an exciting field with too many research threads within which interesting new developments appear every year. It is very hard to summarize what a field as varied and interdisciplinary as social robotics is targeting but we can distinguish two main research directions within the field.
吊胃口
发表于 2025-3-24 08:25:33
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冷淡一切
发表于 2025-3-24 13:44:45
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流动性
发表于 2025-3-24 16:01:00
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没血色
发表于 2025-3-24 20:37:07
The Principle of the Conservation of EnergyChapter . will review several algorithms for learning from demonstration ranging from inverse optimal control to symbolic modeling. What all of these algorithms share is the assumption that demonstrations are segmented from the continuous behavioral stream of the model (i.e. the demonstrator).
obeisance
发表于 2025-3-25 02:24:03
https://doi.org/10.1007/978-94-007-0311-7Creating robots that can easily learn new skills as effectively as humans (or dogs or ants) is the holly grail of intelligent robotics. Several approaches to achieve this goal have appeared over the years.