Semi-supervised
Semi-supervised Method of Multiple Object Segmentation with a Region Labeling and Flood Fill
... The subjectivity of human perception of visual concept play an important role in content based image retrieval (CBIR) system. The fixed image similarity measure cannot meet need to adapt to different focuses of attention ...
19
Specific Land Cover Class Mapping by Semi-Supervised Weighted Support Vector Machines
... A similar approach is presented in this paper; however, a different cost-sensitive approach is employed. A set of randomly defined unlabelled data points is used as an approximation to the negative class, and only the ...
16
A Novel Classification Algorithm Based on Incremental Semi-Supervised Support Vector Machine.
... and semi-supervised ...incremental semi-supervised learning, such as incremental semi- supervised learning based on Adaboost, incremental semi-supervised online ...
19
Prediction of disease-related interactions between microRNAs and environmental factors based on a semi-supervised classifier.
... constructed the miREnvironment database, which contains a comprehensive manually curated collection of experimentally supported interactions among miRNAs, EFs, and phenotypes [33]. Based on the human miRNA-EF interaction ...
10
Semi-supervised feature selection
... someone types some words in the search engine of his browser, he want to receive a list of “all” pages related to that subject. However, there are thousands or even millions of web pages on the internet, without any ...
155
Towards Multi Label Text Classification through Label Propagation
... Generally supervised methods from machine learning are mainly used for realization of multi label text ...time, semi supervised methods are used now a day in multi label text ...of semi ...
4
An unsupervised text mining method for relation extraction from biomedical literature.
... the semi-supervised KNN algorithm, we extend the proposed unsupervised approach to a semi- supervised approach by combining pattern clustering, dependency parsing and phrase structure parsing ...
8
Efeitos do treinamento fisíco multimodal na prevenção secundária de queda em idosos:...
... a semi-supervised home-based and supervised center-based multi-modal exercise program, may be effective in improving variables previously recognized as highly related to falls ...
124
Activity recognition from smartphone sensing data
... using semi- supervised learning and doing this hierarchical approach the 70% can be found on both classifications (1 st classification and 2 nd classification in Dynamic and ...
74
MACHINE LEARNING TECHNIQUES USED IN BIG DATA
... An example of neural network application could be found in [11], where the authors have used the artificial neural network in sentiment analysis over twitter in order to find the users opinions regarding a specific ...
6
Human Activity Annotation based on Active Learning
... a Semi-Supervised Active Learning technique able to partly automate the labelling process and reduce considerably the labelling cost and the labelled data volume required to obtain a highly performing ...a ...
103
SUPERVISED LEARNING METHODS FOR BANGLA WEB DOCUMENT CATEGORIZATION
... with supervised, unsupervised or semi-supervised ...is supervised learning where underlying input-output relation is learned by small number of training data and then output values for unseen ...
13
A alienatio mentis como tópico literário
... da semi-loucura – não será também o génio uma forma de semi-loucura ou uma forma de loucura lúcida, questionará Pessoa – sendo, nesta altura, fundamentais para o poeta as leituras que em- preendeu de ...
23
ACTIVIDADE FÍSICA E ENVELHECIMENTO ACTIVO
... Num primeiro momento foi feita a cada participante a Entrevista Semi-Estruturada Inicial e aplicado o Questionário Internacional de Actividade Física através de Entrevista Individual. Após estes procedimentos, e ...
79
T HIS REPORT WAS SUPERVISED BYR OSÁRIO
... was supervised by professor Rosário André (registered with Comissão do Mercado de Valores Mobiliários as financial analyst) who revised the valuation methodology and the financial ...
22
Supervised Filter Learning for Representation Based Face Recognition.
... Representation based classification methods, such as Sparse Representation Classifica- tion (SRC) and Linear Regression Classification (LRC) have been developed for face rec- ognition problem successfully. However, most ...
19
SPATIO-TEMPORAL DATA MODELING IN RESPONSE TO DEFORESTATION MONITORING
... Indonesia with large amount of area covered by tropical forest faces a critical problem of deforestation. A lot of forested areas were converted into other coverage influenced by human activities. Therefore, ...
79
CONVIVENDO COM O SEMI-ÁRIDO
... grande capacidade de adaptação e que até nossos dias continuam com o povo do sertão, resistindo e insistindo, mostrando sua importância na construção de um Nordeste viável. Esta apostila é o resultado de vários ...
45
OPTIMIZATION OF WELD PENETRATION PROBLEM IN BUTT WELDED JOINTS USING STRESS CONCENTRATION FACTORS AND STRESS INTENSITY FACTORS
... Keywords: Artificial Intelligence, Markov Decision Problems, Dynamic Programming, Reinforcement Learning, Heuristic Learning, Supervised Learning, Unsupervised Learning.. Introduction.[r] ...
7
Avaliação dos minérios itabiritos compactos e semi-compactos em um circuito de britagem da Samarco Mineração S/A
... Delboni Júnior (2007) afirma que nos anos 1970 surgiram os primeiros moinhos semi- autógenos (SAG). Com a adição de bolas em até 12% do volume da câmara de moagem, a capacidade dos equipamentos era ...
92