Project supported by Beijing Natural Science Foundation,China(Grant Nos.L181010 and 4172054);the National Key R&D Program of China(Grant No.2016YFB0801100);the National Basic Research Program of China(Grant No.2013CB329605)。
The statistical model for community detection is a promising research area in network analysis.Most existing statistical models of community detection are designed for networks with a known type of community structure...
Supported in part by 985 Project;973 Project(Grant No.2011CB808000);NSFC(Grant No.11131003);SRFDP(Grant No.20100003110005);the Fundamental Research Funds for the Central Universities
We generalize the decomposition method of the finite Markov chains for Poincare inequality in Jerrum et al.(Ann.Appl.Probab.,14,1741-1765(2004)) to the reversible continuous-time Markov chains.And inductively,we g...
Supported by National 973 project(No.2013CB329404);Key Project of NSF of China(No.11131006);National Natural Science Foundation of China(No.61075054,61370000)
One of the main goals of machine learning is to study the generalization performance of learning algorithms. The previous main results describing the generalization ability of learning algorithms are usually based on ...
supported by National Basic Research Program of China(Grant No.2007CB311002);State Key Program of National Natural Science of China(Grant No.70501030);National Natural Science Foundation of China(Grant No.61070225);China Postdoctoral Science Foundation(Grant Nos.20080440190,200902592);Foundation of Hubei Educational Committee(Grant No.Q20091003)
The previously known frameworks describing the consistency of support vector machine classifica- tion (SVMC) algorithm are usually based on the assumption of independent and identically distributed (i.i.d.) sample...
Project supported by the National Basic Research Program of China (Grant No. 2010CB731803);the National Natural Science Foundation of China (Grant Nos. 60934003, 60974123, 61172064, and 61273181);the Science and Technology Commission of Shanghai Municipality, China (Grant No. 11511501202);the Chenguang Program, China (Grant No. 09CG06)
This paper deals with the consensus problem for heterogeneous multi-agent systems. Different from most existing consensus protocols, we consider the consensus seeking of two types of agents, namely, active agents and ...
The National Science and Technology Major Project( No. 2010ZX03006-002-01 );the National Basic Research Program of China ( 973 Program) ( No. 2011CB302905);the Science and Technology Support Program of Jiangsu Province ( No. BE2011177)
In order to improve the throughput performance of the secondary users (SUs) in the cognitive radio (CR) environment, a quality of service (QoS) based media access control (MAC) protocol is proposed. In this pr...
supported partially by National Science and Technology Major Project of the Ministry of Science and Technology of China under Grant No.2011ZX03005-004-03; a Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions-Information and Communication Engineering,Natural Science Foundation of the Higher Education Institutions of Jiangsu Province,China under Grant No.10KJA510037; Open Research Fund of Key Lab of Broadband Wireless Communication and Sensor Network Technology(Nanjing University of Posts and Telecommunications),Ministry of Education under Grant No.NYKL201108; Natural Science Foundation of Nanjing University of Posts and Telecommunications under Grant No.NY209002
Ethernet Ring Protection (ERP) introduced by ITU-T G.8032 Recommendation is a new type of packet-switched network protection technology, which can provide ring automatic protection switch. However, the Filtering Datab...
supported by National Basic Research Program of China(973 Program)(2007CB814905);the National Natural Science Foundation of China(10871102);the Research Fund for the Doctorial Program of Higher Education
In this paper, we consider an insurance company which has the option of investing in a risky asset and a risk-free asset, whose price parameters are driven by a finite state Markov chain. The risk process of the insur...
Project supported by the National Natural Science Foundation of China (No. 50778121);the National Basic Research Program of China (No. 2007CB407306-1);the National Water Pollution Control and Management of Science and Technology Project of China (No. 2008ZX07317-005)
This paper describes the procedure of using the GM (1,1) weighted Markov chain (GMWMC) to forecast the utility water supply, a quantity that usually has significant temporal variability. The GMWMC is formulated into f...