Search Results for author: Ernest Fokoue

Found 11 papers, 1 papers with code

Improving the Predictive Performances of $k$ Nearest Neighbors Learning by Efficient Variable Selection

no code implementations4 Nov 2022 Eddie Pei, Ernest Fokoue

This paper computationally demonstrates a sharp improvement in predictive performance for $k$ nearest neighbors thanks to an efficient forward selection of the predictor variables.

regression Variable Selection

A Computational Exploration of Emerging Methods of Variable Importance Estimation

no code implementations5 Aug 2022 Louis Mozart Kamdem, Ernest Fokoue

PERF and XGBOOST are "data-hungry" methods, they had the worst performance on small data sizes but they are the fastest when it comes to the execution time.

A Text Mining Discovery of Similarities and Dissimilarities Among Sacred Scriptures

no code implementations8 Feb 2021 Younous Mofenjou Peuriekeu, Victoire Djimna Noyum, Cyrille Feudjio, Alkan Goktug, Ernest Fokoue

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 God.

Other Statistics

Naive Dictionary On Musical Corpora: From Knowledge Representation To Pattern Recognition

no code implementations29 Nov 2018 Qiuyi Wu, Ernest Fokoue

Given the novelty and therefore the extremely difficulty of properly forming a complete version of a dictionary of muselets, the present paper focuses on a simpler albeit naive version of the ultimate dictionary, which we refer to as a Naive Dictionary because of the fact that all the words are of the same length.

Meta-Learning with Hessian-Free Approach in Deep Neural Nets Training

1 code implementation22 May 2018 Boyu Chen, Wenlian Lu, Ernest Fokoue

Meta-learning is a promising method to achieve efficient training method towards deep neural net and has been attracting increases interests in recent years.


On the Statistical Challenges of Echo State Networks and Some Potential Remedies

no code implementations20 Feb 2018 Qiuyi Wu, Ernest Fokoue, Dhireesha Kudithipudi

We create, develop and implement a family of predictably optimal robust and stable ensemble of Echo State Networks via regularizing the training and perturbing the input.

On the Predictive Properties of Binary Link Functions

no code implementations16 Feb 2015 Necla Gunduz, Ernest Fokoue

This paper provides a theoretical and computational justification of the long held claim that of the similarity of the probit and logit link functions often used in binary classification.

Binary Classification

Random Subspace Learning Approach to High-Dimensional Outliers Detection

no code implementations16 Feb 2015 Bohan Liu, Ernest Fokoue

We introduce and develop a novel approach to outlier detection based on adaptation of random subspace learning.

Outlier Detection Vocal Bursts Intensity Prediction

Adaptive Random SubSpace Learning (RSSL) Algorithm for Prediction

no code implementations9 Feb 2015 Mohamed Elshrif, Ernest Fokoue

Sixth, use the model for prediction purpose on test set of the data.

A Taxonomy of Big Data for Optimal Predictive Machine Learning and Data Mining

no code implementations3 Jan 2015 Ernest Fokoue

In this paper, we propose a rough idea of a possible taxonomy of big data, along with some of the most commonly used tools for handling each particular category of bigness.

BIG-bench Machine Learning Imputation

Probit Normal Correlated Topic Models

no code implementations3 Oct 2014 Xingchen Yu, Ernest Fokoue

Our use of the probit model in the context of topic discovery is novel, as many authors have so far con- centrated solely of the logistic model partly due to the formidable inefficiency of the multinomial probit model even in the case of very small topical spaces.

Topic Models

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