Inputs, Processes, Functions, and Systems—Let Us Be Clear
نویسندگان
چکیده
منابع مشابه
Removal of blue cat 41 dye from aqueous solutions with ZnO nanoparticles in combination with US and US-H2O2 advanced oxidation processes
Background: The purpose of the present study was to assess the efficiency of ultrasound/hydrogen peroxide processes and ultrasound/hydrogen peroxide/ZnO nanoparticles in the removal of blue cat 41 dye from aqueous solutions. Methods: ZnO nanoparticles were prepared using the hydrothermal method. Variables including pH, concentration of ZnO nanoparticles, initial dye concentration, concentratio...
متن کاملSparse Gaussian Processes using Pseudo-inputs
We present a new Gaussian process (GP) regression model whose covariance is parameterized by the the locations ofM pseudo-input points, which we learn by a gradient based optimization. We take M N , where N is the number of real data points, and hence obtain a sparse regression method which has O(MN) training cost and O(M) prediction cost per test case. We also find hyperparameters of the covar...
متن کاملProcesses, Functions, and Datatypes
Based on a name-passing calculus and on its typing system we show how to build several language constructors towards strongly-typed concurrent programming languages. In particular, we introduce a notion of datatype declaration , and show how to create values of a datatype and how to take such values apart. Further expressions include a form of abstraction and of application. Expressions evaluat...
متن کاملConstrained Pseudorandom Functions for Unconstrained Inputs
A constrained pseudo random function (PRF) behaves like a standard PRF, but with the added feature that the (master) secret key holder, having secret key K, can produce a constrained key, K{f}, that allows for the evaluation of the PRF on all inputs satisfied by the constraint f . Most existing constrained PRF constructions can handle only bounded length inputs. In a recent work, Abusalah et al...
متن کاملCOVARIANCE MATRIX OF MULTIVARIATE REWARD PROCESSES WITH NONLINEAR REWARD FUNCTIONS
Multivariate reward processes with reward functions of constant rates, defined on a semi-Markov process, first were studied by Masuda and Sumita, 1991. Reward processes with nonlinear reward functions were introduced in Soltani, 1996. In this work we study a multivariate process , , where are reward processes with nonlinear reward functions respectively. The Laplace transform of the covar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Prehospital and Disaster Medicine
سال: 2011
ISSN: 1049-023X,1945-1938
DOI: 10.1017/s1049023x1100625x