Machine learning (ML) techniques
ISOLATED SPEECH RECOGNITION SYSTEM FOR TAMIL LANGUAGE USING STATISTICAL PATTERN MATCHING AND MACHINE LEARNING TECHNIQUES
... to machine learning ...the techniques and speakers involved in the ...and machine learning approaches works better for speaker independent ...
16
Twitter Sentiment Analysis of Movie Reviews using Machine Learning Techniques.
... In general, various symbolic techniques and machine learning techniques are used to analyze the sentiment from the twitter data. So in another way we can say that a sentiment analysis is a ...
7
Comparative Performance Analysis of Machine Learning Techniques for Software Bug Detection
... all machine learning techniques for software bug ...mining techniques for software bug prediction but did not provide the comparative performance analysis of ...existing machine ...
9
MACHINE LEARNING TECHNIQUES USED IN BIG DATA
... Cluster analysis. Cluster analysis splits the data in different groups, called clusters, which are relevant, helpful, or both. If the relevant groups are the purpose, then the clusters should catch the natural structure ...
6
Analysis of Temporal Variations in Dermoscopy Images of Pigmented Skin Lesions by Machine Learning Techniques
... the learning phase in order to predict the correct class output of the input ...propagation learning algorithm that uses backward and forward processes to adjust the weight values of the ...
64
Machine-learning techniques and short-term combination forecasting of industrial production
... of techniques are used in the process of forecasting ...2017). Techniques that combine forecasts made using different methods into a single more accurate forecast have also been used (Elliott et ...
10
Customer Clustering in the Insurance Sector by Means of Unsupervised Machine Learning Techniques
... 10 The second divisive algorithm that should be presented is bisecting k-means. The bisecting k-means clustering algorithm tries to combine the time efficiency of the k-means algorithm with the high quality results from ...
122
Exploration of machine learning techniques for automatic optical inspection
... [27]. Techniques, such as logistic regression are used to combine the results, if they come from different sensors, since several biometric indicators are being evaluated at the same time and, as such, this ...
93
Project Work presented as partial requirement for obtaining the Master’s degree in Information Management
... Machine learning techniques are used in variety of industries, education, medicine, chemistry, and a lot of other science ...fields. Machine learning approaches are applied to solve ...
129
Active learning to understand infectious disease models and improve policy making.
... active learning approach based on machine learning techniques as iterative surrogate modeling and model-guided experimentation to systematically analyze both common and edge manifestations of ...
10
Developing a Neural Network based Index for Sentiment Classification
... of machine learning techniques and information retrieval (semantic orientation indexes) to help companies detecting harmfully negative bloggers’ comments quickly and ...
6
Machine learning and its applications to biology.
... of machine learning is long and ...for machine learning called the perceptron constituted an attempt to model actual neuronal behavior, and the field of artificial neural network (ANN) design ...
11
Modelos complexos de predição aplicados na educação
... of Machine Learning due to three main characteristics: interpretability, flexibility and ease of ...tree techniques are applicable to a wide range of problems, handles different kind of variables ...
139
Deteção de fraude em telecomunicações através de machine learning
... Em concreto, esta dissertação debruçou-se sobre uma base de dados de uma opera- dora, com informação sobre chamadas recebidas numa gateway, tendo por objetivo a identificação de fraudes do tipo bypass e wangiri. Em ...
110
Parsimonious Wavelet Kernel Extreme Learning Machine
... In the current study, a parsimonious algorithm and wavelet technique are developed for KELM on the basis of the aforementioned analysis, the resultant model is referred to as parsimonious wavelet kernel extreme ...
8
A Heuristic Approach to the Disease Diagnose System Using Machine Learning Algorithms (An Expert Advisory System for EMU Bird’s Diseases)
... Abstract--The paper deals with the concepts of expert system and data mining belongs to the Artificial Intelligence fields. The main task of expert system is to ratiocination, while the machine learning ...
3
An Optimized Extreme Learning Machine for Epileptic Seizure Detection
... novel learning framework for Single hidden Layer Feed forward Neural network (SLFN) called Optimized Extreme Learning Machine (OELM) is proposed for the classification of EEG signals with the ...
10
Adversarial machine learning: denial of services recognition
... Zilong Lin et al. proposed IDSGAN [18], a Generative Adversarial Network (GAN) applica- tion to generate indiscriminate adversaries on the NSL-KDD dataset [51]. By training a Generator to produce adversarial malicious ...
89
Rev. bras. linguist. apl. vol.11 número2
... to machine classification. For machine classification, we can easily count how often a linguistic element occurs, and how often it co-occurs with other ...of machine classification in reproducing ...
34
Aplicação de Algoritmos de Aprendizado de Máquina no Apoio a Elaboração de Planos Nutricionais / Application of Machine Learning Algorithms to Support the Development of Nutritional Plans
... e Machine Learning para avaliar a qualidade da refeição de uma pessoa a partir das fotos que a pessoa tira de seu prato, a partir de um ...Deep Learning (AGGARWAL, ...
10