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ADBIS
2007
Springer
256views Database» more  ADBIS 2007»
15 years 10 months ago
Adaptive k-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
Stefanos Ougiaroglou, Alexandros Nanopoulos, Apost...
ENC
2006
IEEE
15 years 10 months ago
Adaptive Node Refinement Collocation Method for Partial Differential Equations
In this work, by using the local node refinement technique purposed in [2, 1], and a quad-tree type algorithm [3, 13], we built a global refinement technique for Kansa's unsy...
José Antonio Muñoz-Gómez, Ped...
CCGRID
2009
IEEE
15 years 7 months ago
Efficient Grid Task-Bundle Allocation Using Bargaining Based Self-Adaptive Auction
To address coordination and complexity issues, we formulate a grid task allocation problem as a bargaining based self-adaptive auction and propose the BarSAA grid task-bundle alloc...
Han Zhao, Xiaolin Li
DSD
2010
IEEE
172views Hardware» more  DSD 2010»
15 years 6 months ago
Adaptive Cache Memories for SMT Processors
Abstract—Resizable caches can trade-off capacity for access speed to dynamically match the needs of the workload. In Simultaneous Multi-Threaded (SMT) cores, the caching needs ca...
Sonia López, Oscar Garnica, David H. Albone...
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 6 months ago
Optimization and AMS Modeling for Design of an Electrostatic Vibration Energy Harvester's Conditioning Circuit with an Auto-Adap
This paper presents an analysis and system-level design of a capacitive harvester of vibration energy composed from a mechanical resonator, capacitive transducer and a conditioning...
Dimitri Galayko, Philippe Basset, Ayyaz Mahmood Pa...