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Found 3 papers, 0 papers with code
Early prediction of the duration of protests using probabilistic Latent Dirichlet Allocation and Decision Trees
Protests and agitations are an integral part of every democratic civil society.
Proposition of a Theoretical Model for Missing Data Imputation using Deep Learning and Evolutionary Algorithms
In this article, considering arbitrary and monotone missing data patterns, we hypothesize that the use of deep neural networks built using autoencoders and denoising autoencoders in conjunction with genetic algorithms, swarm intelligence and maximum likelihood estimator methods as novel data imputation techniques will lead to better imputed values than existing techniques.
Applying the Negative Selection Algorithm for Merger and Acquisition Target Identification
In this paper, we propose a new methodology based on the Negative Selection Algorithm that belongs to the field of Computational Intelligence, specifically, Artificial Immune Systems to identify takeover targets.
