The HO-PAQRs or RO-PAQRs showed good blending or solving features in polymer or solvent, but they were of low dielectric constants for the groups of hydroxyl and alkoxyl destroyed the planar conjugation of the associated π-orbital, and provided the steric hindrance to the formation of regular stacks of the conjugated macromolecules, which could produce huge polarization.
This algorithm can effectively solve feature selection issues in intrusion detections, and the method based on this algorithm exhibited excellent detection accuracy and wide applicability to different categories of attacks.
This indicates that solving the feature selection problem we pose directly, rather than its relaxed version, allows for better recovery of true causal features.
This paper proposes an architecture for cooperative problem solving utilizing features from both knowledge-based systems technology and intelligent agents technology.
By observing the obtained results from the analysed problems solved by the PSO algorithm, it was found that it was robust in solving problems featuring nonlinearity, non-differentiability and high dimensionality.
Such an integrated approach can effectively solve the feature intersection problem, inherited in any feature-based approaches, and capture the user's intent more precisely in the search, which geometry-based methods fail to accomplish.
This work presents an improved hybrid approach to solve the feature model selection problem, aiming at supporting product portfolio scoping.
To solve the feature extraction, dimension reduction, and classification problems of large 12-lead hospital standard ECG datasets, a new tensor-based scheme was proposed.
Our method encodes a subset of selected features to the opinion of an artificial agent and simulates the opinion formation process among a population of agents to solve the feature selection problem.
In this paper, we use tabu search to solve this feature selection problem and compare it with classic algorithms, such as sequential methods, branch and bound method, etc., and most other suboptimal methods proposed recently, such as genetic algorithm and sequential forward (backward) floating search methods.
