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ISLPED
1997
ACM
104views Hardware» more  ISLPED 1997»
15 years 1 months ago
Composite sequence compaction for finite-state machines using block entropy and high-order Markov models
- The objective of this paper is to provide an effective technique for accurate modeling of the external input sequences that affect the behavior of Finite State Machines (FSMs). B...
Radu Marculescu, Diana Marculescu, Massoud Pedram
ICPP
2008
IEEE
15 years 4 months ago
Machine Learning Models to Predict Performance of Computer System Design Alternatives
Computer manufacturers spend a huge amount of time, resources, and money in designing new systems and newer configurations, and their ability to reduce costs, charge competitive p...
Berkin Özisikyilmaz, Gokhan Memik, Alok N. Ch...
COLING
2010
14 years 4 months ago
Contextual Modeling for Meeting Translation Using Unsupervised Word Sense Disambiguation
In this paper we investigate the challenges of applying statistical machine translation to meeting conversations, with a particular view towards analyzing the importance of modeli...
Mei Yang, Katrin Kirchhoff
ACL
2009
14 years 7 months ago
A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation
The tree sequence based translation model allows the violation of syntactic boundaries in a rule to capture non-syntactic phrases, where a tree sequence is a contiguous sequence o...
Jun Sun, Min Zhang, Chew Lim Tan
ISCA
2008
IEEE
143views Hardware» more  ISCA 2008»
14 years 9 months ago
TokenTM: Efficient Execution of Large Transactions with Hardware Transactional Memory
Current hardware transactional memory systems seek to simplify parallel programming, but assume that large transactions are rare, so it is acceptable to penalize their performance...
Jayaram Bobba, Neelam Goyal, Mark D. Hill, Michael...