Results 81 to 90 of about 24,502 (300)

Mutual information with previous response.

, 2022
Across-group bias-variance relationships were robust to a measure of mutual information (MI) that took into account not just the balls observed on the current trial (i.e., relevant information, as in Fig 6A)) but also the previous choice (i.e ...
Joshua I. Gold (13119355), Zachary P. Kilpatrick (13119358), Tahra L. Eissa (13119352), Krešimir Josić (155006)   +3 more
core   +1 more source

Why human connection is the true metric of research success

FEBS Open Bio, EarlyView.
Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan, Mattias Wei Ren Kon, Xavier Coumoul, Fun Man Fung   +3 more
wiley   +1 more source

Application of Generalized Partial Volume Estimation for Mutual Information based Registration of High Resolution SAR and Optical Imagery

, 2008
Mutual information (MI) has proven its effectiveness for automated multimodal image registration for numerous remote sensing applications like image fusion.
Reinartz, Peter, Suri, Sahil
core  

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

MI CAM: Mutual Information Weighted Activation Mapping for Causal Visual Explanations of Convolutional Neural Networks

CoRR
With the intervention of machine vision in our crucial day to day necessities including healthcare and automated power plants, attention has been drawn to the internal mechanisms of convolutional neural networks, and the reason why the network provides specific inferences.
Ram S. Iyer, Narayan S. Iyer, Rugmini Ammal P   +2 more
openaire   +2 more sources

A study on mutual information-based feature selection for text categorization

, 2007
Feature selection plays an important role in text categorization. Automatic feature selection methods such as document frequency thresholding (DF), information gain (IG), mutual information (MI), and so on are commonly applied in text categorization ...
Xu, Yang, Li, Jintao, Jones, Gareth J.F., Sun, ChunMing, Wang, Bin   +4 more
core  

Total mutual information for the largest MI counties.

Total mutual information in the top 17 total MI counties in increasing order.
Emily Stone (5804144), Sebastian Coombs (17729695), Erin Landguth (3243888)   +2 more
core   +1 more source

Improved Mutual Information Estimation

, 2021
We propose to estimate the KL divergence using a relaxed likelihood ratio estimation in a Reproducing Kernel Hilbert space. We show that the dual of our ratio estimator for KL in the particular case of Mutual Information estimation corresponds to a ...
Dognin, Pierre, Melnyk, Igor, Mroueh, Youssef, Ross, Jarret, Sercu, Tom   +4 more
core   +1 more source

The C‐terminal region of KIF26B is indispensable for nephron progenitor condensation and kidney formation in mice

FEBS Open Bio, EarlyView.
KIF26B plays an important role in kidney development. We engineered mice lacking the C‐terminal region of KIF26B and found severe kidney defects, including bilateral renal agenesis, similar to full Kif26b knockout mice. The mutation disrupted nephron progenitor condensation and reduced Gdnf‐Wnt11 signaling, showing that the KIF26B C‐terminal region is ...
Yuta Yamamura, Kengo Furuichi, Hiromitsu Akamatsu, Naoki Yamamoto, Sako Keisuke, Akihiko Koshino, Taichiro Minami, Megumi Oshima, Akinori Hara, Norihiko Sakai, Miho Shimizu, Kenta Takahashi, Minako Yamamura, Shin‐ichi Horike, Takiko Daikoku, Kenichi Harada, Yohei Shinmyo, Hiroshi Kawasaki, Takashi Wada, Yasunori Iwata   +19 more
wiley   +1 more source

A Simple Method for Estimating Term Mutual Information

, 2012
The ability to formally analyze and automatically measure statistical dependence of terms is a core problem in many areas of science. One of the commonly used tools for this is the expected mutual information (MI) measure.
McCluskey, Thomas L., Cai, Di
core