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» Computing Small Search Numbers in Linear Time
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AMDO
2010
Springer
13 years 5 months ago
Finding Optimal Parameter Configuration for a Dynamic Triangle Mesh Compressor
This paper proposes a method of rate-distortion optimisation of an algorithm for compressing dynamic 3D triangle meshes. Although many articles regarding compression methods for th...
Oldrich Petrík, Libor Vása
JCB
2002
70views more  JCB 2002»
13 years 7 months ago
Strong Feature Sets from Small Samples
For small samples, classi er design algorithms typically suffer from over tting. Given a set of features, a classi er must be designed and its error estimated. For small samples, ...
Seungchan Kim, Edward R. Dougherty, Junior Barrera...
FOCS
2005
IEEE
14 years 1 months ago
Linear Lower Bounds on Real-World Implementations of Concurrent Objects
This paper proves   ¡ £ ¥ lower bounds on the time to perform a single instance of an operation in any implementation of a large class of data structures shared by £ processe...
Faith Ellen Fich, Danny Hendler, Nir Shavit
BMCBI
2010
142views more  BMCBI 2010»
13 years 7 months ago
pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree
Background: Likelihood-based phylogenetic inference is generally considered to be the most reliable classification method for unknown sequences. However, traditional likelihood-ba...
Frederick A. Matsen III, Robin B. Kodner, E. Virgi...
JMLR
2012
11 years 10 months ago
Random Search for Hyper-Parameter Optimization
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
James Bergstra, Yoshua Bengio