Dissimilarities are extremely useful in many real-world pattern classification problems, where the data resides in a complicated, complex space, and it can be very difficult, if not impossible, to find useful feature vector representations. In these cases a dissimilarity representation may be easier to come by. The goal of this work is to provide a new technique based on Support Vector Machines...

In this paper, a multi-label classification method based on label ranking and delicate boundary Support Vector Machine (SVM) is proposed for solving the functional genomics applications. Firstly, an improved probabilistic SVM with delicate decision boundary is used as scoring approach to obtain a proper label rank. Secondly, an instance-dependent thresholding strategy is proposed to decide clas...

1 لوئسم هدنسیون : ناریا ،نارهت ،نارهت هاگشناد ،یمیش یسدنهم هدکشناد ،يژولونکتویب هورگ ،رایشناد . یکینورتکلا تسپ : [email protected] 2 ناریا ،يراس ،ناردنزام تاقیقحت و مولع یملاسا دازآ هاگشناد ،ییاذغ عیانص و مولع هدکشناد ،دشرا سانشراک . 3 ناریا ،نارهت ،نارهت هاگشناد ،یمیش یسدنهم هدکشناد ،يژولونکتویب هورگ ،دشرا سانشراک . 4 و مولع یملاسا دازآ هاگشناد ،یمیش هدکشناد ،رایداتسا ناریا ،يراس ،نار...

Early detection of suicidal thoughts is an important part of effective suicide prevention. Such thoughts may be expressed online, especially by young people. This paper presents on-going work on the automatic recognition of suicidal messages in social media. We present experiments for automatically detecting relevant messages (with suicide-related content), and those containing suicide threats....

In this paper, we compare the performance of a variety of machine learning algorithms, including supervised Naïve Bayes, J48, SVM, Random Tree, Random Forest, and non-supervised KNN for determining the type of cancer a patient is su ering using medical textual records. We train these classi ers on di erent sets of features such as unigrams and bigrams of words, character n-grams using tf-idf we...

This paper presents a simple, but computationally efficient approach for fingerprint recognition. In this proposed approach fingerprint image is divided into windows of size 3  3 to extract the fuzzy features. The information at the center of the window is the product of information extracted using Local Binary Pattern (LBP) and fuzzy membership function. Maximization of mutual information bet...

The relocation state capital of Indonesia raises various responses, especially from the Indonesian people. discussion related to these issues is very interesting study, how are positive and negative sentiments towards government's decision. This study aims analyze people regarding Indonesia, including chosen name Nusantara on Twitter. In this a comparison 3 algorithms used, namely Support Vecto...