3 citations · 10 across the 10 of their papers we have counts for
13 papers
Improving the Predictive Performances of Nearest Neighbors Learning by Efficient Variable Selection
Eddie Pei, Ernest Fokoue
This paper computationally demonstrates a sharp improvement in predictive performance for nearest neighbors thanks to an efficient forward selection of the predictor variables.…
A Text Mining Discovery of Similarities and Dissimilarities Among Sacred Scriptures
Younous Mofenjou Peuriekeu, Victoire Djimna Noyum, Cyrille Feudjio +2
The careful examination of sacred texts gives valuable insights into human psychology, different ideas regarding the organization of societies as well as into terms like truth and…
Boosting the Predictive Accurary of Singer Identification Using Discrete Wavelet Transform For Feature Extraction
Victoire Djimna Noyum, Younous Perieukeu Mofenjou, Cyrille Feudjio +2
Facing the diversity and growth of the musical field nowadays, the search for precise songs becomes more and more complex. The identity of the singer facilitates this search. In th…
Nonnegative Matrix Factorization with Zellner Penalty
Matthew Corsetti, Ernest Fokoué
Nonnegative matrix factorization (NMF) is a relatively new unsupervised learning algorithm that decomposes a nonnegative data matrix into a parts-based, lower dimensional, linear r…
Nonnegative Matrix Factorization with Toeplitz Penalty
Matthew Corsetti, Ernest Fokoué
Nonnegative Matrix Factorization (NMF) is an unsupervised learning algorithm that produces a linear, parts-based approximation of a data matrix. NMF constructs a nonnegative low ra…
Graph Enhanced High Dimensional Kernel Regression
E. Pei, E. Fokoué
In this paper, the flexibility, versatility and predictive power of kernel regression are combined with now lavishly available network data to create regression models with even gr…