Machine learning techniques
Precipitates Segmentation from Scanning Electron Microscope Images through Machine Learning Techniques
... and machine learning techniques may lead to reliable and efficient assessments on the ...recognition techniques to accomplish metallic precipitates segmentation in scanning electron microscope ...
13
Influence of heartwood on wood density and pulp properties explained by machine learning techniques
... Machine learning focuses on the biological learning process and tries to emulate it through algorithms that are able to learn from given data and provide new ...results. Machine ...
10
Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical Documents
... As referred in section 1 much work has been done in this domain in the last years. A good overview is done in the Stranieri and Zeleznikow’s book ”Knowledge Dis- covery from Legal Databases” [33]. In this book several ...
18
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
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
ISOLATED SPEECH RECOGNITION SYSTEM FOR TAMIL LANGUAGE USING STATISTICAL PATTERN MATCHING AND MACHINE LEARNING TECHNIQUES
... The main objective of this paper is to develop speaker independent isolated speech recognition for Tamil language. These speech recognition systems were originally developed for English language. Tamil is a widely spoken ...
16
Distinguishing long non-coding RNAs from protein coding transcripts based on machine learning techniques
... For the problem of distinguishing protein coding transcripts (PCTs) from lncRNAs, many computational methods using machine learning techniques were proposed. CPC (Coding Potential Calculator) [108] ...
93
Machine-learning techniques and short-term combination forecasting of industrial production
... The aim of this study was to develop short-term forecasts of the industrial produc- tion index in Brazil. Forecasts are made using five different methodologies: SARIMA, regressions, a structural, a dynamic factor models ...
10
Embedded real-time speed limit sign recognition using image processing and machine learning techniques
... analysis techniques for sign ...Extreme Learning Machine (ELM), Least Mean Squares (LMS), and Least Squares (LS) machine learning ...
21
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
Machine learning techniques for music information retrieval
... Having said that, we would like to add that during our research journey we noticed a few un- expected behaviors in several of the tasks we addressed; this led us to investigate a few aspects on inferring mid to high ...
210
Analysis of Temporal Variations in Dermoscopy Images of Pigmented Skin Lesions by Machine Learning Techniques
... Given the presented risks there are many things that people can look for in the prevention and early diagnosis of melanoma. However the task of detecting malignant or potentially malig- nant skin lesions can be difficult ...
64
Application of machine learning techniques on the discovery and annotation of transposons in genomes
... Support vector machines are a set of related supervised learning methods used for classification and regression. They use a nonlinear mapping to transform the original training data into a higher dimension. Within ...
122
Exploration of machine learning techniques for automatic optical inspection
... classifier’s learning, in the initial stages of this tool’s utilization [24] by emphasizing the importance of searching for more characteristic image attributes to add to the already identified cell nucleus ...
93
Detecting and Protecting Personally Identifiable Information through Machine Learning Techniques
... other techniques added value to their business, making companies willing to storage as much information as possible about their users, even if they had no use for it at the ...
72
Forecasting inflation in Portugal by using machine learning techniques
... Por último, foram testados centenas de algoritmos de Machine Learning. Como referido anteriormente, o foco desta dissertação incidiu na utilização de Redes Neuronais Artificais. Existem vários parâmetros ...
79
Predicting chelonia mydas nests survivability rates with use of machine learning techniques: applying machine learning techniques on conservation data – case study
... Typically, the classic approach to this research topic has been made via using classical models that test hypothesis based on new or past existing theories constructed on grounded literary work. Unfortunately, this ...
81
MACHINE LEARNING TECHNIQUES USED IN BIG DATA
... • Google’s autonomous car. These cars contains sensors which are detecting the object from a large area (approx. the dimension of two football fields) in all directions. Among the detected objects are persons on foot, ...
6
Extracting control variables from manufacturing processes with machine learning techniques
... The PCA components in 4.24 and ICA components 4.26 are again very difficult to interpret due to the nature of their constraints and as in the last case appear similar. Fur- thermore, looking at the coefficients there are ...
87
March madness prediction using machine learning techniques
... Machine Learning is a buzzword in the technology world right ...several techniques that can be divided in Unsupervised and Supervised ...of learning is to explore the data to find intrinsic ...
60