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ICML
2005
IEEE
14 years 8 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
INTERSPEECH
2010
13 years 2 months ago
SCARF: a segmental conditional random field toolkit for speech recognition
This paper describes a new toolkit - SCARF - for doing speech recognition with segmental conditional random fields. It is designed to allow for the integration of numerous, possib...
Geoffrey Zweig, Patrick Nguyen
CSDA
2006
233views more  CSDA 2006»
13 years 7 months ago
Analysis of Type-II progressively hybrid censored data
The mixture of Type-I and Type-II censoring schemes, called the hybrid censoring scheme is quite common in life-testing or reliability experiments. Recently Type-II progressive ce...
Debasis Kundu, Avijit Joarder
MMB
2010
Springer
185views Communications» more  MMB 2010»
13 years 9 months ago
Reducing the Cost of Generating APH-Distributed Random Numbers
Phase-type (PH) distributions are proven to be very powerful tools in modelling and analysis of a wide range of phenomena in computer systems. The use of these distributions in sim...
Philipp Reinecke, Miklós Telek, Katinka Wol...
DAC
2008
ACM
14 years 8 months ago
Modeling of failure probability and statistical design of spin-torque transfer magnetic random access memory (STT MRAM) array fo
: Spin-Torque Transfer Magnetic RAM (STT MRAM) is a promising candidate for future universal memory. It combines the desirable attributes of current memory technologies such as SRA...
Jing Li, Charles Augustine, Sayeef S. Salahuddin, ...