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123
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NIPS
2004
15 years 5 months ago
Parallel Support Vector Machines: The Cascade SVM
We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...
Hans Peter Graf, Eric Cosatto, Léon Bottou,...
110
Voted
COR
2008
128views more  COR 2008»
15 years 3 months ago
Solving dynamic stochastic economic models by mathematical programming decomposition methods
Discrete-time optimal control problems arise naturally in many economic problems. Despite the rapid growth in computing power and new developments in the literature, many economic...
Mercedes Esteban-Bravo, Francisco J. Nogales
122
Voted
CORR
2008
Springer
115views Education» more  CORR 2008»
15 years 3 months ago
Coding over an Erasure Channel with a Large Alphabet Size
An erasure channel with a fixed alphabet size q, where q 1, is studied . It is proved that over any erasure channel (with or without memory), Maximum Distance Separable (MDS) codes...
Shervan Fashandi, Shahab Oveis Gharan, Amir K. Kha...
117
Voted
CORR
2006
Springer
81views Education» more  CORR 2006»
15 years 3 months ago
Universal Filtering via Hidden Markov Modeling
The problem of discrete universal filtering, in which the components of a discrete signal emitted by an unknown source and corrupted by a known discrete memoryless channel (DMC) ar...
Taesup Moon, Tsachy Weissman
127
Voted
LISP
2008
104views more  LISP 2008»
15 years 3 months ago
Flattening tuples in an SSA intermediate representation
For functional programs, unboxing aggregate data structures such as tuples removes memory indirections and frees dead components of the decoupled structures. To explore the consequ...
Lukasz Ziarek, Stephen Weeks, Suresh Jagannathan