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» Computationally Efficient Transductive Machines
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ICPR
2008
IEEE
14 years 9 months ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan
ICS
2010
Tsinghua U.
13 years 10 months ago
Clustering performance data efficiently at massive scales
Existing supercomputers have hundreds of thousands of processor cores, and future systems may have hundreds of millions. Developers need detailed performance measurements to tune ...
Todd Gamblin, Bronis R. de Supinski, Martin Schulz...
ANCS
2006
ACM
13 years 11 months ago
Efficient memory utilization on network processors for deep packet inspection
Deep Packet Inspection (DPI) refers to examining both packet header and payload to look for predefined patterns, which is essential for network security, intrusion detection and c...
Piti Piyachon, Yan Luo
IEEEPACT
1998
IEEE
14 years 1 days ago
Athapascan-1: On-Line Building Data Flow Graph in a Parallel Language
In order to achieve practical efficient execution on a parallel architecture, a knowledge of the data dependencies related to the application appears as the key point for building...
François Galilée, Jean-Louis Roch, G...
NIPS
2001
13 years 9 months ago
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
The paper studies machine learning problems where each example is described using a set of Boolean features and where hypotheses are represented by linear threshold elements. One ...
Roni Khardon, Dan Roth, Rocco A. Servedio