Graph theory has been shown to provide a powerful tool for representing and tackling machine learning problems, such as clustering, semi-supervised learning, and feature ranking. This paper proposes a graph-based discrete differential operator for detecting and eliminating competence-critical instances and class label noise from a training set in order to improve classification performance. Res...

In many occasions in real life, we are faced with the problem of classification of partially labeled data, or semi-supervised learning. We consider the special case of scarcely labeled data or when the labeled data is insufficient, and present a principled method which implements active learning in scarcely labeled data to enhance the performance of the learner. This method is based on the rece...

The resource-constrained production planning problem in semicontinuous multiproduct food industries is addressed. In particular, the case of yogurt production, a representative food process, in a real-life dairy facility is studied in detail. The problem in question is mainly focused on the packing stage, whereas timing and capacity constraints are imposed with respect to the batch stage to ens...

The proposed algorithmic approach deals with finding the sense of a word in an electronic data. Now a day, in different communication mediums like internet, mobile services etc. people use few words, which are slang in nature. This approach detects those abusive words using supervised learning procedure. But in the real life scenario, the slang words are not used in complete word forms always. ...

Authorship attribution (AA) aims to identify the authors of a set of documents. Traditional studies in this area often assume that there are a large set of labeled documents available for training. However, in the real life, it is often difficult or expensive to collect a large set of labeled data. For example, in the online review domain, most reviewers (authors) only write a few reviews, whic...

Recent theoretical studies have shown that partitioning-based scheduling has better real-time performance than other scheduling paradigms like global scheduling on multi-cores. Especially, a class of partitioning-based scheduling algorithms (called semi-partitioned scheduling), which allow to split a small number of tasks among different cores, offer very high resource utilization, and appear t...

This paper discusses an approach of QoS service differentiation in mobile ad hoc networks. We aim to investigate the performances of the proposed semi-stateless approach, named “MARS”, over the existing stateless approaches. Mars supports both real-time UDP traffic, and best-effort UDP and TCP traffic. The main objective of MARS is to minimize the end-to-end delay of traffic. The proposed model...