Continuity of the Maximum-Entropy Inference

نویسندگان

چکیده

برای دانلود رایگان 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

On Maximum Entropy and Inference

Maximum entropy is a powerful concept that entails a sharp separation between relevant and irrelevant variables. It is typically invoked in inference, once an assumption is made on what the relevant variables are, in order to estimate a model from data, that affords predictions on all other (dependent) variables. Conversely, maximum entropy can be invoked to retrieve the relevant variables (suf...

متن کامل

Uncertain Reasoning Using Maximum Entropy Inference

The use of maximum entropy infer­ ence in reasoning with uncertain informa­ tion is commonly justified by an information-theoretic argument. This paper discusses a possible objection to this information-theoretic justification and shows how it can be met. I then compare max­ imum entropy inference with certain other currently popular methods for uncertain rea­ soning. In making such a compariso...

متن کامل

Maximum Entropy, Time Series and Statistical Inference

A brief discussion is given of the traditional version of the Maximum Entropy Method, including a review of some of the criticism that has been made in regard to its use in statistical inference. Motivated by these questions, a modified version of the method is then proposed and applied to an example in order to demonstrate its use with a given time series.

متن کامل

Maximum Entropy Inference with Quantified Knowledge

We investigate uncertain reasoning with quantified sentences of the predicate calculus treated as the limiting case of maximum entropy inference applied to finite domains. Motivation and notation In this modest note we consider one possible approach to the following problem P: Suppose that my subjective beliefs in some sentences θ1, θ2, . . . , θm of a predicate language are constrained to sati...

متن کامل

Maximum-Entropy Inference with a Programmable Annealer

Optimisation problems typically involve finding the ground state (i.e. the minimum energy configuration) of a cost function with respect to many variables. If the variables are corrupted by noise then this maximises the likelihood that the solution is correct. The maximum entropy solution on the other hand takes the form of a Boltzmann distribution over the ground and excited states of the cost...

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: Communications in Mathematical Physics

سال: 2014

ISSN: 0010-3616,1432-0916

DOI: 10.1007/s00220-014-2090-1