New parameter-free mobility model: Opportunity priority selection model

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Parameter-free online learning via model selection

We introduce an efficient algorithmic framework for model selection in online learning, also known as parameter-free online learning. Departing from previous work, which has focused on highly structured function classes such as nested balls in Hilbert space, we propose a generic meta-algorithm framework that achieves online model selection oracle inequalities under minimal structural assumption...

متن کامل

Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning

Stochastic gradient descent algorithms for training linear and kernel predictors are gaining more andmore importance, thanks to their scalability. While various methods have been proposed to speed up theirconvergence, the model selection phase is often ignored. In fact, in theoretical works most of the timeassumptions are made, for example, on the prior knowledge of the norm of ...

متن کامل

Structure parameter estimation algorithms for model selection

This paper presents deterministic and stochastic algorithms of the structure parameters estimation for the model selection problem. Structure parameters optimization for linear and non-linear models is investigated. The optimized error function is inferred from statistical hypothesis on the model parameter distributions. Analytic algorithms are based on the error function derivatives estimation...

متن کامل

Portfolio Selection with Parameter and Model Uncertainty ∗

In this paper, we extend the mean-variance portfolio model to explicitly account for uncertainty about the estimated expected returns and/or the underlying return-generating model. We do this by first imposing an additional constraint on the mean-variance portfolio optimization program that restricts each parameter to lie within a specified confidence interval of its estimated value, and then b...

متن کامل

Parameter-free Model of Rank Polysemantic Distribution

Probabilistic polysemantic distribution is peculiar to a word with a concrete frequency in the frequency list. Let's introduce dependence "usage polysemanticism" proceeding from the following theoretical assumptions: 1. The lexicon of a concrete language (sublanguage) is reflected in the appropriate explanatory dictionary. A certain constitutive text corpus lays in the basis of the language. 2....

متن کامل

ذخیره 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: Physica A: Statistical Mechanics and its Applications

سال: 2019

ISSN: 0378-4371

DOI: 10.1016/j.physa.2019.04.259