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» A New Indexing Method for High Dimensional Dataset
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PODS
2000
ACM
120views Database» more  PODS 2000»
13 years 11 months ago
Indexing the Edges - A Simple and Yet Efficient Approach to High-Dimensional Indexing
In this paper, we propose a new tunable index scheme, called iMinMax , that maps points in high dimensional spaces to single dimension values determined by their maximum or minimu...
Beng Chin Ooi, Kian-Lee Tan, Cui Yu, Stépha...
ICPR
2006
IEEE
14 years 8 months ago
Finding Rule Groups to Classify High Dimensional Gene Expression Datasets
Microarray data provides quantitative information about the transcription profile of cells. To analyze microarray datasets, methodology of machine learning has increasingly attrac...
Jiyuan An, Yi-Ping Phoebe Chen
BMCBI
2010
89views more  BMCBI 2010»
13 years 7 months ago
Predictors of natively unfolded proteins: unanimous consensus score to detect a twilight zone between order and disorder in gene
Background: Natively unfolded proteins lack a well defined three dimensional structure but have important biological functions, suggesting a re-assignment of the structure-functio...
Antonio Deiana, Andrea Giansanti
MICAI
2005
Springer
14 years 25 days ago
Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Edgar Chávez, Karina Figueroa, Gonzalo Nava...
ACL
2012
11 years 9 months ago
Fast Online Training with Frequency-Adaptive Learning Rates for Chinese Word Segmentation and New Word Detection
We present a joint model for Chinese word segmentation and new word detection. We present high dimensional new features, including word-based features and enriched edge (label-tra...
Xu Sun, Houfeng Wang, Wenjie Li