Document Clustering Based On Max-Correntropy Non-Negative Matrix Factorization

Nonnegative matrix factorization (NMF) has been successfully applied to many areas for classification and clustering. Commonly-used NMF algorithms mainly target on minimizing the $l_2$ distance or Kullback-Leibler (KL) divergence, which may not be suitable for nonlinear case. In this paper, we propose a new decomposition method by maximizing the correntropy between the original and the product of two low-rank matrices for document clustering. This method also allows us to learn the new basis vectors of the semantic feature space from the data. To our knowledge, we haven't seen any work has been done by maximizing correntropy in NMF to cluster high dimensional document data. Our experiment results show the supremacy of our proposed method over other variants of NMF algorithm on Reuters21578 and TDT2 databasets.Comment: International Conference of Machine Learning and Cybernetics (ICMLC) 201

Distributed Relay Selection for Heterogeneous UAV Communication Networks Using A Many-to-Many Matching Game Without Substitutability

This paper proposes a distributed multiple relay selection scheme to maximize the satisfaction experiences of unmanned aerial vehicles (UAV) communication networks. The multi-radio and multi-channel (MRMC) UAV communication system is considered in this paper. One source UAV can select one or more relay radios, and each relay radio can be shared by multiple source UAVs equally. Without the center controller, source UAVs with heterogeneous requirements compete for channels dominated by relay radios. In order to optimize the global satisfaction performance, we model the UAV communication network as a many-to-many matching market without substitutability. We design a potential matching approach to address the optimization problem, in which the optimizing of local matching process will lead to the improvement of global matching results. Simulation results show that the proposed distributed matching approach yields good matching performance of satisfaction, which is close to the global optimum result. Moreover, the many-to-many potential matching approach outperforms existing schemes sufficiently in terms of global satisfaction within a reasonable convergence time.Comment: 6 pages, 4 figures, conferenc

Płacenie podatków, społeczny wkład w ograniczanie zanieczyszczeń i poczucie satysfakcji

Using data from the China part of the World Value Survey (WVS), this paper empirically studies the impact of air pollution on happiness, and further, the citizens’ willingness to pay (WTP) for pollution prevention and its determinants. The result confirms that air pollution significantly worsens happiness. Regarding he WTP, it is differentiated in the form of tax and social contribution. Contrary to the expectation that the air pollution level affects the WTP, the concern on the environment plays a bigger role in increasing the WTP. Besides, the WTP are shown significantly influenced by tax compliance incentives, trust in the government or environmental organizations, attitudes toward environmental protection responsibilities and the family income, which sheds light on effective environmental policy making and implementation.W artykule, wykorzystując dane odnoszące się do Chin w ramach bazy World Value Survey (WVS), omówiono badania empiryczne odnoszące się wpływu zanieczyszczeń powietrza na poczucie satysfakcji obywateli, a także ich gotowości do zapłaty za zanieczyszczenia powietrza i ich determinanty. Otrzymane rezultaty potwierdzają, że zanieczyszczenia powietrza znacząco pogarszają poczucie satysfakcji. Biorąc pod uwagę gotowość do zapłaty, odpowiedź jest uzależniona od formy podatku i społecznego zaangażowania. Przeciwnie do oczekiwań, że zanieczyszczenia powietrza wpływają bezpośrednio gotowość do zapłaty, okazało się, że ważniejsza jest troska o środowisko. Ponadto,  na gotowość do zapłaty wpływają sensowne podatki, zaufanie do rządu, organizacji ekologicznych, świadomość odpowiedzialności za środowisko, a także osiągany dochód, co zarazem pozwala ocenić efektywność polityki środowiskowej i jej wdrażania

Density based pruning for identification of differentially expressed genes from microarray data

<p>Abstract</p> <p>Motivation</p> <p>Identification of differentially expressed genes from microarray datasets is one of the most important analyses for microarray data mining. Popular algorithms such as statistical t-test rank genes based on a single statistics. The false positive rate of these methods can be improved by considering other features of differentially expressed genes.</p> <p>Results</p> <p>We proposed a pattern recognition strategy for identifying differentially expressed genes. Genes are mapped to a two dimension feature space composed of average difference of gene expression and average expression levels. A density based pruning algorithm (DB Pruning) is developed to screen out potential differentially expressed genes usually located in the sparse boundary region. Biases of popular algorithms for identifying differentially expressed genes are visually characterized. Experiments on 17 datasets from Gene Omnibus Database (GEO) with experimentally verified differentially expressed genes showed that DB pruning can significantly improve the prediction accuracy of popular identification algorithms such as t-test, rank product, and fold change.</p> <p>Conclusions</p> <p>Density based pruning of non-differentially expressed genes is an effective method for enhancing statistical testing based algorithms for identifying differentially expressed genes. It improves t-test, rank product, and fold change by 11% to 50% in the numbers of identified true differentially expressed genes. The source code of DB pruning is freely available on our website <url>http://mleg.cse.sc.edu/degprune</url></p

Mixed Channel OEM Supply Chain Pricing and Service Competition Strategy Considering Brand Dealer Penalties

The paper constructs a mixed channel OEM supply chain model consisting of brand dealer and manufacturer, with brand dealer acting as the main parties of Stackelberg and manufacturer as the subordinate. This paper compares the profit changes of the supply chain in three situations: single brand channel, the mixed dual channel after the manufacturer opens the direct channel and dual channels where brand dealer penalize manufacturer for direct sales channels. The research results prove that the introduction of direct sales channels by manufacturer can enhance the advantages of the game and gain more profits. Under certain conditions, brand dealer would also benefit from the introduction of direct sales channels, so as to achieve a win-win result. When brand dealers’ profits are infringed, brand dealer can reduce the losses caused by direct sales channels by punishing direct sales channels. What’s more, the better the direct channel acceptance, the better the effect of the method. The total profit of the supply chain is reduced with the increase of the direct channel acceptance