Maximally informative next experiments for nonlinear models
نویسندگان
چکیده
منابع مشابه
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given organism, array experiments provide tremendous insight into the fundamental biological processes that translate genetic information. One of the major challenges is to identify computationally efficient and biologicall...
متن کاملMaximally Informative Statistics
In this paper we propose a Bayesian, information theoretic approach to dimensionality reduction. The approach is formulated as a variational principle on mutual information, and seamlessly addresses the notions of sufficiency, relevance, and representation. Maximally informative statistics are shown to minimize a Kullback-Leibler distance between posterior distributions. Illustrating the approa...
متن کاملMaximally Informative Statistics for Localization and Mapping
This paper presents an algorithm for simultaneous localization and mapping for a mobile robot using monocular vision and odometry. The approach uses Variable State Dimension Filtering (VSDF) flamework to combine aspects of extended Kalman filtering (EKF) and nonlinear batch optimization. This paper describes two primary improvements to the VSDF. The first is to use the maximally informative sta...
متن کاملMaximally Informative Observables and Categorical Perception
We formulate the problem of perception in the framework of information theory, and prove that categorical perception is equivalent to the existence of an observable that has the maximum possible information on the target of perception. We call such an observable maximally informative. Regardless whether categorical perception is " real " , maximally informative observables can form the basis of...
متن کاملMaximally informative pairwise interactions in networks.
Several types of biological networks have recently been shown to be accurately described by a maximum entropy model with pairwise interactions, also known as the Ising model. Here we present an approach for finding the optimal mappings between input signals and network states that allow the network to convey the maximal information about input signals drawn from a given distribution. This mappi...
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: Mathematical Biosciences
سال: 2018
ISSN: 0025-5564
DOI: 10.1016/j.mbs.2018.04.007