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141
Voted
ML
1998
ACM
139views Machine Learning» more  ML 1998»
15 years 3 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby
ML
2007
ACM
106views Machine Learning» more  ML 2007»
15 years 3 months ago
Surrogate maximization/minimization algorithms and extensions
Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
ENTCS
2007
113views more  ENTCS 2007»
15 years 3 months ago
Modular Checkpointing for Atomicity
Transient faults that arise in large-scale software systems can often be repaired by re-executing the code in which they occur. Ascribing a meaningful semantics for safe re-execut...
Lukasz Ziarek, Philip Schatz, Suresh Jagannathan
136
Voted
TPHOL
1999
IEEE
15 years 7 months ago
Lifted-FL: A Pragmatic Implementation of Combined Model Checking and Theorem Proving
Combining theorem proving and model checking o ers the tantalizing possibility of e ciently reasoning about large circuits at high levels of abstraction. We have constructed a syst...
Mark Aagaard, Robert B. Jones, Carl-Johan H. Seger
CADE
1998
Springer
15 years 7 months ago
Automated Theorem Proving in a Simple Meta-Logic for LF
Abstract. Higher-order representation techniques allow elegant encodings of logics and programming languages in the logical framework LF, but unfortunately they are fundamentally i...
Carsten Schürmann, Frank Pfenning