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» Importance Sampling for Continuous Time Bayesian Networks
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BMCBI
2007
172views more  BMCBI 2007»
14 years 12 months ago
msBayes: Pipeline for testing comparative phylogeographic histories using hierarchical approximate Bayesian computation
Background: Although testing for simultaneous divergence (vicariance) across different population-pairs that span the same barrier to gene flow is of central importance to evoluti...
Michael J. Hickerson, Eli Stahl, Naoki Takebayashi
IJCAI
1989
15 years 29 days ago
Input Data Management in Real-Time AI Systems
A real-time AI system in the real world needs to monitor an immense volume of data. To do this, the system must filter out much of the incoming data. However, it must remain re­ ...
Richard Washington, Barbara Hayes-Roth
JMLR
2002
102views more  JMLR 2002»
14 years 11 months ago
Optimal Structure Identification With Greedy Search
In this paper we prove the so-called "Meek Conjecture". In particular, we show that if a DAG H is an independence map of another DAG G, then there exists a finite sequen...
David Maxwell Chickering
ICC
2007
IEEE
120views Communications» more  ICC 2007»
15 years 6 months ago
Fixed-Period Packet Sampling and its Application to Flow Rate Estimation
Abstract— We propose a packet sampling strategy called fixedperiod sampling, which selects at most one packet in every fixedlength period. Under the fixed-period sampling, the...
Sadayoshi Ito, Kousuke Uchiyama, Shigeo Shioda
DKE
2008
109views more  DKE 2008»
14 years 12 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...