Sciweavers

602 search results - page 95 / 121
» A New Approximation Method of the Quadratic Discriminant Fun...
Sort
View
82
Voted
ALIFE
2006
14 years 9 months ago
Axiomatic Scalable Neurocontroller Analysis via the Shapley Value
One of the major challenges in the field of neurally driven evolved autonomous agents is deciphering the neural mechanisms underlying their behavior. Aiming at this goal, we have d...
Alon Keinan, Ben Sandbank, Claus C. Hilgetag, Isaa...
94
Voted
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
15 years 10 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
ML
2008
ACM
101views Machine Learning» more  ML 2008»
14 years 9 months ago
On reoptimizing multi-class classifiers
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
82
Voted
SCN
2010
Springer
122views Communications» more  SCN 2010»
14 years 8 months ago
Recursive Lattice Reduction
Abstract. Lattice reduction is known to be a very powerful tool in modern cryptanalysis. In the literature, there are many lattice reduction algorithms that have been proposed with...
Thomas Plantard, Willy Susilo
99
Voted
SISAP
2008
IEEE
188views Data Mining» more  SISAP 2008»
15 years 3 months ago
High-Dimensional Similarity Retrieval Using Dimensional Choice
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information...
Dave Tahmoush, Hanan Samet