The lack of service differentiation and resource isolation by current IP routers exposes their vulnerability to Distributed Denial of Service (DDoS) attacks [12], causing a serious threat to the availability of Internet services. Based on the concept of layer-4 service differentiation and resource isolation, where the transport-layer information is inferred from the IP headers and used for pack...

Novel Internet of Things (IoT) applications and services rely on an intelligent understanding of the environment leveraging data gathered via heterogeneous sensors and micro-devices. Though increasingly effective, Machine Learning (ML) techniques generally do not go beyond classification of events with opaque labels, lacking machine-understandable representation and explanation of taxonomies. T...

In sentiment analysis of reviews we focus on classifying the polarity (positive, negative) of conveyed opinions from the perspective of textual evidence. Most of the work in the field has been intensively applied on the English language and only few experiments have explored other languages. In this paper, we present a supervised classification of French movie reviews where sentiment analysis i...

Wikipedia’s category graph is a network of 400,000 interconnected category labels, and can be a powerful resource for many classification tasks. However, its size and the lack of order can make it difficult to navigate. In this paper, we present a new algorithm to efficiently explore this graph and discover accurate classification labels. We implement our algorithm as the core of a query classi...

In sentiment analysis of reviews we focus on classifying the polarity (positive, negative) of conveyed opinions from the perspective of textual evidence. Most of the work in the field has been intensively applied on the English language and only few experiments have explored other languages. In this paper, we present a supervised classification of French movie reviews where sentiment analysis i...

This paper presents our Chinese microblog sentiment classification (CMSC) system in the Topic-Based Chinese Message Polarity Classification task of SIGHAN-8 Bake-Off. Given a message from Chinese Weibo platform and a topic, our system is designed to classify whether the message is of positive, negative, or neutral sentiment towards the given topic. Due to the difficulties like the out-ofvocabul...

The absence of an appropriate text classification corpus makes the massive amount of online job information unusable for labor market analysis. This paper presents JCTC, a large job posting corpus for text classification. In JCTC construction framework, a formal specification issued by the Chinese central government is chosen as the classification standard. The unsupervised learning (WE-cos), s...

In many online applications of machine learning, the computational resources available for classification will vary from time to time. Existing techniques are designed to operate within the constraints of the minimum expected resources and fail to utilize further resources when they are available. This paper presents an analysis of the relevant categories of computational resource involved and ...

This research will focus on applying the sparse representation for classification problems on wireless sensor networks, which includes the topics about acoustic classification, the transmission data size reduction and indoor radio frequency based localization accuracy improvement. Sparse representation is applied for increasing the performance of the acoustic classification and radio tomographi...