Feature value vector

The pretrained BERT multilingual model is used to generate embedding vectors from the input text. These vectors are combined with TF-IDF values to produce the input of the text summarization system. Redundant sentences from the output summary are eliminated by the Maximal Marginal Relevance method. Our system is evaluated with both English and Vietnamese languages using CNN and Baomoi datasets, respectively. Experimental results show that our system achieves better results compared to existing works using the same dataset.

21p spiritedaway36 25-11-2021 7 1   Download

Self-balancing control is the basis for applications of two-wheeled robots. In order to improve the self-balancing of twowheeled robots, we propose a hierarchical reinforcement learning algorithm for controlling the balance of two-wheeled robots.

11p vivalletta2711 11-01-2020 30 3   Download

Regression is one among the most used vital machine learning and statistical tool. Regression is a method of modeling a target value based on independent predictors. It allows making predictions from data by understanding the relationship between features of data and observed continuous-valued response. Support Vector Regression (SVR) is one of the useful and flexible techniques, helping the user to deal with the limitations pertaining to distributional properties of underlying variables, the geometry of the data and the common problem of model overfitting.

6p cothumenhmong1 08-12-2019 16 2   Download

This study implements word count function of Vector Space Model and singular value decomposition (SVD) technique of feature extraction based on dimensionality reduction. The proposed system presents an effective pre-processing and dimensionality reduction techniques which help the document classify by using naïve byes algorithm. The experimental results show that the proposed method enhances the performance of document classification.

6p hongnhan878 12-04-2019 27 2   Download

The combined features which are made up of 32 histogram values,64 color correlogram values, 6 color moment values and 48 texture features are extracted to both query and database images. The extracted feature vector of the query image is compared with extracted feature vectors of the database images to obtain the similar images. The main objective this work is classification of image using SVM algorithm.

6p hongnhan878 12-04-2019 21 0   Download

This paper defines multiset-valued linear index grammar and unordered vector grammar with dominance links. The former models certain uses of multisetvalued feature structures in unification-based formalisms, while the latter is motivated by word order variation and by "quasi-trees", a generalization of trees. The two formalisms are weakly equivalent, and an important subset is at most context-sensitive and polynomially parsable.

8p bunmoc_1 20-04-2013 54 2   Download

Variants of Naive Bayes (NB) and Support Vector Machines (SVM) are often used as baseline methods for text classification, but their performance varies greatly depending on the model variant, features used and task/ dataset.

5p nghetay_1 07-04-2013 49 2   Download