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ISQED
2006
IEEE
90views Hardware» more  ISQED 2006»
16 years 12 days ago
Advances in Computation of the Maximum of a Set of Random Variables
This paper quantifies the approximation error in Clark’s approach [1] to computing the maximum (max) of Gaussian random variables; a fundamental operation in statistical timing...
Debjit Sinha, Hai Zhou, Narendra V. Shenoy
IJCNLP
2005
Springer
15 years 12 months ago
Chunking Using Conditional Random Fields in Korean Texts
We present a method of chunking in Korean texts using conditional random fields (CRFs), a recently introduced probabilistic model for labeling and segmenting sequence of data. In a...
Yong-Hun Lee, Mi-Young Kim, Jong-Hyeok Lee
SIGCOMM
2000
ACM
15 years 10 months ago
A stochastic model of TCP/IP with stationary random
In this paper, we present a model for TCP/IP ow control mechanism. The rate at which data is transmitted increases linearly in time until a packet loss is detected. At that point,...
Eitan Altman, Konstantin Avrachenkov, Chadi Baraka...
ECML
2006
Springer
15 years 10 months ago
TildeCRF: Conditional Random Fields for Logical Sequences
Abstract. Conditional Random Fields (CRFs) provide a powerful instrument for labeling sequences. So far, however, CRFs have only been considered for labeling sequences over flat al...
Bernd Gutmann, Kristian Kersting
NIPS
2004
15 years 7 months ago
Semi-Markov Conditional Random Fields for Information Extraction
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
Sunita Sarawagi, William W. Cohen