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AAAI
2010
15 years 3 days ago
Multilinear Maximum Distance Embedding Via L1-Norm Optimization
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
Yang Liu, Yan Liu, Keith C. C. Chan
110
Voted
BMCBI
2008
132views more  BMCBI 2008»
15 years 3 months ago
Clustering ionic flow blockade toggles with a Mixture of HMMs
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
Alexander G. Churbanov, Stephen Winters-Hilt
131
Voted
TEI
2010
ACM
201views Hardware» more  TEI 2010»
15 years 10 months ago
Objects in play: virtual environments and tactile learning
When creating technology environments for children, consideration needs to be given to how touch, gesture, and physical interactions impact on play and learning. This is particula...
Lillian Spina-Caza
131
Voted
EC
2006
121views ECommerce» more  EC 2006»
15 years 3 months ago
A Study of Structural and Parametric Learning in XCS
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
Tim Kovacs, Manfred Kerber
COLT
2006
Springer
15 years 7 months ago
Efficient Learning Algorithms Yield Circuit Lower Bounds
We describe a new approach for understanding the difficulty of designing efficient learning algorithms. We prove that the existence of an efficient learning algorithm for a circui...
Lance Fortnow, Adam R. Klivans