Results 1 - 10 of 149

Practical Issues in Temporal Difference Learning

by Gerald Tesauro - Machine Learning , 1992
"... This paper examines whether temporal difference methods for training connectionist networks, such as Suttons's TD(lambda) algorithm can be successfully applied to complex real-world problems. A number of important practical issues are identified and discussed from a general theoretical perspect ..."
Abstract - Cited by 415 (2 self) - Add to MetaCart
This paper examines whether temporal difference methods for training connectionist networks, such as Suttons's TD(lambda) algorithm can be successfully applied to complex real-world problems. A number of important practical issues are identified and discussed from a general theoretical

A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks.

by Devarajan Sridharan , † ‡ , Daniel J Levitin , Vinod Menon - Proc Natl Acad Sci USA , 2008
"... Cognitively demanding tasks that evoke activation in the brain's central-executive network (CEN) have been consistently shown to evoke decreased activation (deactivation) in the default-mode network (DMN). The neural mechanisms underlying this switch between activation and deactivation of larg ..."
Abstract - Cited by 178 (1 self) - Add to MetaCart
causality analysis, we show that the rFIC-ACC network, and the rFIC, in particular, plays a critical and causal role in switching between the CEN and the DMN. We replicated this causal connectivity pattern in two additional experiments: (i) a visual attention ''oddball'' task and (ii) a

Network analysis of cortical visual pathways mapped with PET

by A. R. Mcintosh, C. L. Grady, L. G. Ungerleider, J. V. Haxby, S. I. Rapoport, B. Horwitzl - Journal of Neuroscience , 1994
"... Brain metabolic mapping techniques, such as positron emis-sion tomography (PET), can provide information about the functional interactions within entire neural systems. With the large quantity of data that can accumulate from a mapping study, a network analysis, which makes sense of the com-plex int ..."
Abstract - Cited by 73 (14 self) - Add to MetaCart
Brain metabolic mapping techniques, such as positron emis-sion tomography (PET), can provide information about the functional interactions within entire neural systems. With the large quantity of data that can accumulate from a mapping study, a network analysis, which makes sense of the com

Visual Analysis of Dynamic Group Membership in Temporal Social Networks

by Hyunmo Kang
"... C-Group is a tool for analyzing dynamic group membership in temporal social networks over time. Unlike most network visualization tools, which show the group structure within an entire network, or the group membership for a single actor, C-Group allows users to focus their analysis on a pair of indi ..."
Abstract - Cited by 18 (1 self) - Add to MetaCart
C-Group is a tool for analyzing dynamic group membership in temporal social networks over time. Unlike most network visualization tools, which show the group structure within an entire network, or the group membership for a single actor, C-Group allows users to focus their analysis on a pair

Anatomy of a Large European IXP

by Bernhard Ager, Nadi Sarrar, Nikolaos Chatzis, Steve Uhlig, Anja Feldmann, Walter Willinger
"... The largest IXPs carry on a daily basis traffic volumes in the petabyte range, similar to what some of the largest global ISPs reportedly handle. This little-known fact is due to a few hundreds of member ASes exchanging traffic with one another over the IXP’s infrastructure. This paper reports on a ..."
Abstract - Cited by 55 (16 self) - Add to MetaCart
in the entire Internet known as of 2010! To explain such a surprisingly rich peering fabric, we examine in detail this IXP’s ecosystem and highlight the diversity of networks that are members at this IXP and connect there with other member ASes for reasons that are similarly diverse, but can be partially

In situ exploration of large dynamic networks

by Steffen Hadlak, Heidrun Schumann - IEEE TVCG
"... Abstract—The analysis of large dynamic networks poses a challenge in many fields, ranging from large bot-nets to social networks. As dynamic networks exhibit different characteristics, e.g., being of sparse or dense structure, or having a continuous or discrete time line, a variety of visualization ..."
Abstract - Cited by 16 (2 self) - Add to MetaCart
techniques have been specifically designed to handle these different aspects of network structure and time. This wide range of existing techniques is well justified, as rarely a single visualization is suitable to cover the entire visual analysis. Instead, visual representations are often switched

RESEARCH ARTICLE Spatial-Temporal Dynamics of High- Resolution Animal Networks: What Can We Learn from Domestic Animals?

by Shi Chen, Amiyaal Ilany, Brad J. White, Michael W. S, Cristina Lanzas
"... Animal social network is the key to understand many ecological and epidemiological pro-cesses. We used real-time location system (RTLS) to accurately track cattle position, analyze their proximity networks, and tested the hypothesis of temporal stationarity and spatial homo-geneity in these networks ..."
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at entire pen level) or temporal (aggregated at daily level) resolution. The network structure (described by the characteristics such as density, modularity, transitivity, etc.) also changed substantially at different time and locations. There were certain time (feeding) and location (hay

Exploiting Constructive Interference for Scalable Flooding in Wireless Networks

by Yin Wang, Yuan He, Xufei Mao, Yunhao Liu, Zhiyu Huang, Xiangyang Li
"... Abstract—Exploiting constructive interference in wireless networks is an emerging trend for it allows multiple senders transmit an identical packet simultaneously. Constructive interference based flooding can realize millisecond network flooding latency and sub-microsecond time synchronization accur ..."
Abstract - Cited by 23 (4 self) - Add to MetaCart
accuracy, require no network state information and adapt to topology changes. However, constructive interference has a precondition to function, namely, the maximum temporal displacement ∆ of concurrent packet transmissions should be less than a given hardware constrained threshold. We disclose

Analysis of virus spread in wireless sensor networks: An epidemic model

by Shensheng Tang, Brian L. Mark - in Proc. Workshop on Design of Reliable
"... Abstract—We study the potential threat for virus spread in wireless sensor networks (WSNs). Using epidemic theory, we proposed a new model, called Susceptible-Infective-Recovered with Maintenance (SIR-M), to characterize the dynamics of the virus spread process from a single node to the entire netwo ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
Abstract—We study the potential threat for virus spread in wireless sensor networks (WSNs). Using epidemic theory, we proposed a new model, called Susceptible-Infective-Recovered with Maintenance (SIR-M), to characterize the dynamics of the virus spread process from a single node to the entire

Design, Analysis, and Implementation of DVSR: A Fair, High Performance Protocol for Packet Rings

by V. Gambiroza, P. Yuan, L. Balzano, Y. Liu, S. Sheafor, E. Knightly , 2004
"... The Resilient Packet Ring (RPR) IEEE 802.17 standard is a new technology for high-speed backbone metropolitan area networks. A key performance objective of RPR is to simultaneously achieve high utilization, spatial reuse, and fairness, an objective not achieved by current technologies such as SONET ..."
Abstract - Cited by 33 (2 self) - Add to MetaCart
The Resilient Packet Ring (RPR) IEEE 802.17 standard is a new technology for high-speed backbone metropolitan area networks. A key performance objective of RPR is to simultaneously achieve high utilization, spatial reuse, and fairness, an objective not achieved by current technologies such as SONET
Results 1 - 10 of 149