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135
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AAAI
2008
15 years 5 months ago
Manifold Integration with Markov Random Walks
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
Heeyoul Choi, Seungjin Choi, Yoonsuck Choe
JSS
2008
97views more  JSS 2008»
15 years 3 months ago
Proactive and reactive multi-dimensional histogram maintenance for selectivity estimation
Many state-of-the-art selectivity estimation methods use query feedback to maintain histogram buckets, thereby using the limited memory efficiently. However, they are "reacti...
Zhen He, Byung Suk Lee, Xiaoyang Sean Wang
149
Voted
VLDB
2004
ACM
180views Database» more  VLDB 2004»
15 years 9 months ago
Bloom Histogram: Path Selectivity Estimation for XML Data with Updates
Cost-based XML query optimization calls for accurate estimation of the selectivity of path expressions. Some other interactive and internet applications can also benefit from suc...
Wei Wang 0011, Haifeng Jiang, Hongjun Lu, Jeffrey ...
120
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BMCBI
2010
115views more  BMCBI 2010»
15 years 3 months ago
Non-coding RNA detection methods combined to improve usability, reproducibility and precision
Background: Non-coding RNAs gain more attention as their diverse roles in many cellular processes are discovered. At the same time, the need for efficient computational prediction...
Peter Raasch, Ulf Schmitz, Nadja Patenge, Julio Ve...
141
Voted
BMCBI
2010
150views more  BMCBI 2010»
15 years 1 months ago
Kernel based methods for accelerated failure time model with ultra-high dimensional data
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, R...