We present LTLS, a technique for multiclass and multilabel prediction that can perform training and inference in logarithmic time and space. LTLS embeds large classification problems into simple structured prediction problems and relies on efficient dynamic programming algorithms for inference. We train LTLS with stochastic gradient descent on a number of multiclass and multilabel datasets and ...

This paper presents a new program tree structure in genetic programming which outputs multiple related values, hence serves as a more coherent multiclass classifier. The multiple outputting effect of the tree is achieved by making it simulate a kind of directed acyclic graph. The approach is examined and compared with the basic genetic programming approach on four multiclass object classificati...

Feature selection based data mining methods is one of the most important research directions in the fields of machine learning in recent years. This paper presents a review of assorted feature selection methods named filter, wrapper and embedded and multiclass classifiers like support vector machines (SVM), decision tree, averaged perceptron and neural network. Additionally it conveys an assess...

Abstract: This study presents a novel direct-construction based fuzzy multiclass support vector classifier based on previous multi-class classification method by Crammer and Singer (2001). In our proposed method, the membership degree is computed by fuzzy c-means clustering, the optimal problem and its constraints of multiclass classification are reconstructed and its corresponding Lagrangian f...

Social media has become one of the most popular sources information. People communicate with each other and share their ideas, commenting on global issues events in a multilingual environment. While social been for several years, recently, it given an exponential rise online data volumes because increasing popularity local languages web. This allows researchers NLP community to exploit richness...

STUDY OBJECTIVES To compare the efficacy of adjustable and fixed oral appliances for the treatment of OSA. METHODS Retrospective review of consecutive patients with OSA treated with either adjustable or fixed oral appliances. Polysomnography was conducted before and during therapy. Effective treatment was defined as an apnea-hypopnea index (AHI) < 5 events/h or < 10 events/h with resolution o...

We have investigated how mobile phones can be used as basis for domain specific information appliances. In many areas in service and production industry mobile workers use specifically designed handheld information appliances. Such appliances are developed to be highly suitable for the task that has to be performed. However the development of such appliances is fairly expensive and only makes s...

Remote controls facilitate interactions at-a-distance with appliances. However, the complexity, diversity, and increasing number of digital appliances in ubiquitous computing ecologies make it increasingly difficult to: (1) discover which appliances are controllable; (2) select a particular appliance from the large number available; (3) view information about its status; and (4) control the app...