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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 11 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
DEBS
2007
ACM
15 years 10 months ago
Modeling the communication costs of content-based routing: the case of subscription forwarding
Content-based routing (CBR) provides the core distribution support of several middleware paradigms, most notably content-based publish-subscribe. Despite its popularity, however, ...
Stefano Castelli, Paolo Costa, Gian Pietro Picco
GECCO
2006
Springer
147views Optimization» more  GECCO 2006»
15 years 10 months ago
Evolving a real-world vehicle warning system
Many serious automobile accidents could be avoided if drivers were warned of impending crashes before they occur. Creating such warning systems by hand, however, is a difficult an...
Nate Kohl, Kenneth O. Stanley, Risto Miikkulainen,...
FPGA
2010
ACM
232views FPGA» more  FPGA 2010»
15 years 6 months ago
High-throughput bayesian computing machine with reconfigurable hardware
We use reconfigurable hardware to construct a high throughput Bayesian computing machine (BCM) capable of evaluating probabilistic networks with arbitrary DAG (directed acyclic gr...
Mingjie Lin, Ilia Lebedev, John Wawrzynek
CCR
2010
202views more  CCR 2010»
15 years 6 months ago
Understanding data center traffic characteristics
As data centers become more and more central in Internet communications, both research and operations communities have begun to explore how to better design and manage them. In th...
Theophilus Benson, Ashok Anand, Aditya Akella, Min...