Several supervised methods

Automatic text classification is one of the most interesting task in data mining. This task has to deal with a huge amount of data. Many studies have been investigated for English, however, the investigation of Vietnamese is still an early stage. This paper investigates several text classification methods: Super Vector Machine, Naive Bayes Classification, K-Nearest Neighbors, Multi-layer perceptron, Decision Tree, Random Forest using TF-IDF. The experiments in Vietnamese datasets show that Super Vector Machine and Multi-layer perceptron perform better than the other methods.

6p chauchaungayxua11 23-03-2021 10 1   Download

Recent interest in reference-free deconvolution of DNA methylation data has led to several supervised methods, but these methods do not easily permit the interpretation of underlying cell types.

15p vioklahoma2711 19-11-2020 7 1   Download

Radial Visualization technique is a non linear dimensionality reduction method. Radial Visualization projects multivariate data in the 2-dimensional visual space inside the unit circle. Radial Visualization supports display both the samples and the attributes that provides useful information of data structures. In this article, we introduced a new variant of Radial Visualization for visualizing high dimensional data set that named Arc Radial Visualization. The new proposal that modified Radial Visualization supported more space to display high dimensional datasets.

11p thayboitinhyeu 02-03-2020 9 0   Download

Genetics of autoimmune diseases represent a growing domain with surpassing biomarker results with rapid progress. The exact cause of Rheumatoid Arthritis (RA) is unknown, but it is thought to have both a genetic and an environmental bases. Genetic biomarkers are capable of changing the supervision of RA by allowing not only the detection of susceptible individuals, but also early diagnosis, evaluation of disease severity, selection of therapy, and monitoring of response to therapy. This review is concerned with not only the genetic biomarkers of RA but also the methods of identifying them.

16p kequaidan1 16-11-2019 14 0   Download

We presented a comparison between several feature ranking methods used on two real datasets. We considered six ranking methods that can be divided into two broad categories: statistical and entropy-based. Four supervised learning algorithms are adopted to build models, namely, IB1, Naive Bayes, C4.5 decision tree and the RBF network. We showed that the selection of ranking methods could be important for classification accuracy. In our experiments, ranking methods with different supervised learning algorithms give quite different results for balanced accuracy.

17p vinguyentuongdanh 19-12-2018 23 0   Download

We present several unsupervised statistical models for the prepositional phrase attachment task that approach the accuracy of the best supervised methods for this task. Our unsupervised approach uses a heuristic based on attachment proximity and trains from raw text that is annotated with only part-of-speech tags and morphological base forms, as opposed to attachment information. It is therefore less resource-intensive and more portable than previous corpus-based algorithm proposed for this task. ...

7p bunrieu_1 18-04-2013 48 3   Download

Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In this paper, we present an unsupervised bootstrapping approach for WSD which exploits huge amounts of automatically generated noisy data for training within a supervised learning framework. The method is evaluated using the 29 nouns in the English Lexical Sample task of SENSEVAL2.

8p bunbo_1 17-04-2013 38 1   Download

Over the last few years, two of the main research directions in machine learning of natural language processing have been the study of semi-supervised learning algorithms as a way to train classifiers when the labeled data is scarce, and the study of ways to exploit knowledge and global information in structured learning tasks. In this paper, we suggest a method for incorporating domain knowledge in semi-supervised learning algorithms. Our novel framework unifies and can exploit several kinds of task specific constraints. ...

8p hongvang_1 16-04-2013 31 2   Download

Statistical machine translation systems are usually trained on large amounts of bilingual text and monolingual text in the target language. In this paper we explore the use of transductive semi-supervised methods for the effective use of monolingual data from the source language in order to improve translation quality. We propose several algorithms with this aim, and present the strengths and weaknesses of each one.

8p hongvang_1 16-04-2013 38 1   Download

We investigate automatic geolocation (i.e. identification of the location, expressed as latitude/longitude coordinates) of documents. Geolocation can be an effective means of summarizing large document collections and it is an important component of geographic information retrieval. We describe several simple supervised methods for document geolocation using only the document’s raw text as evidence.

10p hongdo_1 12-04-2013 39 2   Download

We present a simple semi-supervised relation extraction system with large-scale word clustering. We focus on systematically exploring the effectiveness of different cluster-based features. We also propose several statistical methods for selecting clusters at an appropriate level of granularity. When training on different sizes of data, our semi-supervised approach consistently outperformed a state-of-the-art supervised baseline system.

9p hongdo_1 12-04-2013 38 2   Download

We present a novel approach to the automatic acquisition of a Verbnet like classification of French verbs which involves the use (i) of a neural clustering method which associates clusters with features, (ii) of several supervised and unsupervised evaluation metrics and (iii) of various existing syntactic and semantic lexical resources. We evaluate our approach on an established test set and show that it outperforms previous related work with an Fmeasure of 0.70.

10p nghetay_1 07-04-2013 47 1   Download

To capture several features of housing booms, we look at three variables: real credit to the private sector, residential investment and real house prices. Apart from interest rates, all variables are in logs. The data is taken from the OECD Economic Outlook, the IMF International Financial Statistics (IFS), and the BIS Macro database. The variables and data sources are listed in the appendix. We estimate the model on quarterly data over the period of the Great Moderation from 1984 Q1 to 2007 Q2 with two lags.

48p taisaovanchuavo 23-01-2013 65 5   Download

With several (not joint) guarantees enhanced by seniority and collateral, each guaranteeing Member State would again remain liable for its own share of Stability Bond issuance. However, to ensure that Stability Bonds would always be repaid, even in case of default, a number of credit enhancements could be considered by the Member States. First, senior status could be applied to Stability Bond issuance. Second, Stability Bonds could be partially collateralised (e.g. using cash, gold, shares of public companies etc.).

54p enter1cai 16-01-2013 60 5   Download