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» Classifier Selection Based on Data Complexity Measures
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ICDM
2009
IEEE
145views Data Mining» more  ICDM 2009»
14 years 11 months ago
Significance of Episodes Based on Minimal Windows
Discovering episodes, frequent sets of events from a sequence has been an active field in pattern mining. Traditionally, a level-wise approach is used to discover all frequent epis...
Nikolaj Tatti
TNN
2010
176views Management» more  TNN 2010»
14 years 8 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
152
Voted
IJCAI
2007
15 years 3 months ago
Fast Image Alignment Using Anytime Algorithms
Image alignment refers to finding the best transformation from a fixed reference image to a new image of a scene. This process is often guided by similarity measures between ima...
Rupert Brooks, Tal Arbel, Doina Precup
ICS
1993
Tsinghua U.
15 years 5 months ago
Dynamic Control of Performance Monitoring on Large Scale Parallel Systems
Performance monitoring of large scale parallel computers creates a dilemma: we need to collect detailed information to find performance bottlenecks, yet collecting all this data ...
Jeffrey K. Hollingsworth, Barton P. Miller
BMCBI
2004
123views more  BMCBI 2004»
15 years 1 months ago
Interaction profile-based protein classification of death domain
Background: The increasing number of protein sequences and 3D structure obtained from genomic initiatives is leading many of us to focus on proteomics, and to dedicate our experim...
Drew Lett, Michael Hsing, Frederic Pio