Results 51 to 60 of about 698,809 (305)
Single Nucleotide Polymorphisms’ Causal Structure Robustness within Coronary Artery Disease Patients
An ever-growing amount of accumulated data has materialized in several scientific fields, due to recent technological progress. New challenges emerge in exploiting these data and utilizing the valuable available information.
Maria Ganopoulou +8 more
doaj +1 more source
Information Theoretic Methods for Variable Selection—A Review
We review the principal information theoretic tools and their use for feature selection, with the main emphasis on classification problems with discrete features.
Jan Mielniczuk
doaj +1 more source
Designing Reconfigurable Intelligent Systems with Markov Blankets
Compute Continuum (CC) systems comprise a vast number of devices distributed over computational tiers. Evaluating business requirements, i.e., Service Level Objectives (SLOs), requires collecting data from all those devices; if SLOs are violated, devices must be reconfigured to ensure correct operation.
Boris Sedlak +3 more
openaire +3 more sources
Recurrent, nonequilibrium systems and the Markov blanket assumption
Abstract Markov blankets – statistical independences between system and environment – have become popular to describe the boundaries of living systems under Bayesian views of cognition. The intuition behind Markov blankets originates from considering acyclic, atemporal networks.
Miguel Aguilera, Christopher Buckley
openaire +3 more sources
Markov Blanket Discovery using Minimum Message Length
Markov Blanket Discovery using Minimum Message ...
Lloyd Allison (74245) +2 more
core
Online Streaming Features Selection via Markov Blanket
Streaming feature selection has always been an excellent method for selecting the relevant subset of features from high-dimensional data and overcoming learning complexity.
Waqar Khan +4 more
semanticscholar +1 more source
Characteristics of Grade IV Glioblastoma Multiforme Markov blanket genes.
Characteristics of Grade IV Glioblastoma Multiforme Markov blanket genes.
Changwon Yoo (416678) +2 more
core +1 more source
Research on Optimization of Markov Blanket Algorithm Based on Bayesian Network
With the advent of the big data era, the scale and complexity of data are con-stantly increasing, and feature selection has become one of the key issues in improving the performance and computational efficiency of machine learning models.15 The Markov ...
Yi-Miao Chen, Ziwei Liu
semanticscholar +1 more source
Bootstrapped Markov blanket discovery.
Bayesian network inference (BNI) is performed on 400 bootstraps of size 20000. The -axis represents the fraction of bootstraps that a feature occurs in the Markov blanket of integration proximity in a resulting Bayesian network, i.e.
Johann de Jong (550491) +9 more
core +1 more source
Background Detecting epistatic interactions plays a significant role in improving pathogenesis, prevention, diagnosis and treatment of complex human diseases. A recent study in automatic detection of epistatic interactions shows that Markov Blanket-based
Chen Xue-wen, Han Bing
doaj +1 more source

