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ECML
2006
Springer
15 years 3 months ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
ACSC
2003
IEEE
15 years 5 months ago
Self-Adaptive Clock Synchronization Based on Clock Precision Difference
This paper presents an innovative strategy to synchronize all virtual clocks in asynchronous Internet environments. Our model is based on the architecture of one reference clock a...
Ying Zhao, Wanlei Zhou, Elicia Lanham, Shui Yu, Mi...
AMC
2008
94views more  AMC 2008»
15 years 2 hour ago
Modeling and inversion of net ecological exchange data using an Ito stochastic differential equation approach
A system of stochastic differential equations is studied describing a compartmental carbon transfer model that includes uncertainties arising in the model from environmental and p...
Luther White, Yiqi Luo
ICML
2004
IEEE
16 years 20 days ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
DEXA
1999
Springer
158views Database» more  DEXA 1999»
15 years 4 months ago
Transaction Shipping Approach for Mobile Distributed Real-Time Databases
Due to the unpredictability of mobile network, it is difficult to meet transaction deadlines in a mobile distributed real-time database system (MDRDTBS). We propose the idea of tra...
Kam-yiu Lam, Tei-Wei Kuo, Wai-Hung Tsang, Gary C. ...