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The past decade has seen an explosion of machine learning research and appli- cations; especially, deep learning methods have enabled key advances in many applicationdomains,suchas computervision,speechprocessing,andgameplaying. However, the performance of many machine learning methods is very sensi ...

Although state of the art in many typical machine learning tasks, deep learning algorithmsareverycostly interms ofenergyconsumption,duetotheirlargeamount of required computations and huge model sizes. Because of this, deep learning applications on battery-constrained wearables have only been possibl ...

Artificial Intelligence (AI) has undoubtedly been one of the most important buz- zwords over the past years. The goal in AI is to design algorithms that transform com- puters into “intelligent” agents. By intelligence here we do not necessarily mean an extraordinary level of smartness shown by sup ...

General paradigm in solving a computer vision problem is to represent a raw image using a more informative vector called feature vector and train a classifier on top of feature vectors collected from training set. From classification perspective, there are several off-the-shelf methods such as gradi ...

Machinelearninghasgreatpotentialforimprovingproducts,processesandresearch.Butcomputers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and their decisions interpretable. After exploring the concepts of ...

The present era of research and development is all about interdisciplinary studies attempting to better comprehend and model our understanding of this vast universe. The fields of biology and computer science are no exception. This book discusses some of the innumerable ways in which computational m ...

Machine learning is about designing algorithms that automatically extract valuable information from data. The emphasis here is on “automatic”, i.e., machine learning is concerned about general-purpose methodologies that can be applied to many datasets, while producing something that is mean- ingfu ...

modbus-demo, Public M_3W_D(50) As Long Public M_4W_D(500) As Long Public M_0W_B(100) As Long Public M_1W_B(100) As Long Public PLC_B(50) As Single Public PLC_C(50) As Long Public T1t(500) As Long Public M_3x(500) As Long Public M_4x(500) As Long Public MODEL As Long Public Party As Long

Instrukcja programowania trójosiowego sterownika ruchu „przemysłowego wyświetlania ekranugo” V2.0 Model kontrolera : HYCNC-WPRS232-P3 , Wersja oprogramowania : V2.0 , Data : 2020-7-12 Autor : Guilin Hengyuan Technology Co., Ltd. ( Pan Lee )

%this is an example demonstrating the Radial Basis Function %if you select a RBF that supports it (Gausian, or 1st or 3rd order %polyharmonic spline), this also calculates a line integral between two %points.