Titlebook: Intelligent Computing Theories and Methodologies; 11th International C De-Shuang Huang,Vitoantonio Bevilacqua,Prashan Pre Conference procee

Obscure

A Water Wave Optimization Algorithm with Variable Population Size and Comprehensive Learning,eaking. In this paper we present a variation of WWO, named VC-WWO, which adopts a variable population size to accelerate the search process, and develops a comprehensive learning mechanism in the refraction operator to make stationary waves learn from more exemplars to increase the solution diversit

OVER

rheumatology

Improved Dendritic Cell Algorithm with False Positives and False Negatives Adjustable,ion results is analyzed, and two kinds of DCA which can adjust false positives and false negatives are proposed. The first one is the improved voting DCA, the Tendency Factor (TF) is involved in the Dendritic Cell (DC) state transition to assess contexts fairly, and through the fine adjustment of TF

Stable-Angina

Topographic Modulations of Neural Oscillations in Spiking Networks,tral power of the ELL neurons with the topographic modulations for different spatial scale regimes. Numerical simulations reveal that the spatial scale is a very important determinant of neural oscillations in gamma band. The spectral power is enhanced by decreasing feedback spatial spread. This enh

PANG

撕裂皮肉

Targeting the Minimum Vertex Set Problem with an Enhanced Genetic Algorithm Improved with Local Seay instances of it. Solutions of the minimum feedback vertex set can find several real world applications. For this reason, it is useful to investigate heuristics that might give near-optimal solutions. Here we present an enhanced genetic algorithm with an ad hoc local search improvement strategy tha

Definitive

,Lie Detection from Speech Analysis Based on K–SVD Deep Belief Network Model,cult to be extracted and have high computational complexity. So this paper proposes a deep belief network based on the K-singular value decomposition (K-SVD) algorithm. This method combined the multi-dimensional data linear decomposition ability of sparse algorithm and the deep nonlinear network str

Asymptomatic

Parallel Collaborative Filtering Recommendation Model Based on Two-Phase Similarity,ferences matrix. Besides, in regard to the parallel computing framework, the parallel implementation of the model is completed. All these experiments are done on MovieLens dataset. The results show that PCF-TPS solves the problem of cold startup and increases the accuracy concerning CF. Compared wit

现存

Blind Nonparametric Determined and Underdetermined Signal Extraction Algorithm for Dependent Sourceed by a deflation procedure to extract or separate the dependent source signals. Simulation results for synthesis and real world data show that the proposed nonparametric extraction algorithm can extract the dependent signals and yield ideal performance.

PHON

How to Detect Communities in Large Networks,an algorithm, the LPR method achieves better performance and higher computational efficiency, indicating the order of choosing seed nodes greatly influences the efficiency of community detection. In addition, we can get the importance values of nodes which not only is part of our algorithm, but also