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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 4 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
147
Voted
INFOCOM
2009
IEEE
15 years 10 months ago
Random Linear Network Coding For Time Division Duplexing: When To Stop Talking And Start Listening
—A new random linear network coding scheme for reliable communications for time division duplexing channels is proposed. The setup assumes a packet erasure channel and that nodes...
Daniel Enrique Lucani, Milica Stojanovic, Muriel M...
134
Voted
IPPS
2006
IEEE
15 years 9 months ago
Memory minimization for tensor contractions using integer linear programming
This paper presents a technique for memory optimization for a class of computations that arises in the field of correlated electronic structure methods such as coupled cluster and...
A. Allam, J. Ramanujam, Gerald Baumgartner, P. Sad...
139
Voted
ISPD
2006
ACM
158views Hardware» more  ISPD 2006»
15 years 9 months ago
Effective linear programming based placement methods
Linear programming (LP) based methods are attractive for solving the placement problem because of their ability to model Half-Perimeter Wirelength (HPWL) and timing. However, it h...
Sherief Reda, Amit Chowdhary
ACL
2006
15 years 5 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner