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KDD
2008
ACM
181views Data Mining» more  KDD 2008»
15 years 10 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
STOC
2010
ACM
181views Algorithms» more  STOC 2010»
14 years 10 months ago
Load balancing and orientability thresholds for random hypergraphs
Let h > w > 0 be two fixed integers. Let H be a random hypergraph whose hyperedges are uniformly of size h. To w-orient a hyperedge, we assign exactly w of its vertices posi...
Pu Gao, Nicholas C. Wormald
ATAL
2009
Springer
15 years 4 months ago
Effective solutions for real-world Stackelberg games: when agents must deal with human uncertainties
How do we build multiagent algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human intera...
James Pita, Manish Jain, Fernando Ordó&ntil...
BMCBI
2006
137views more  BMCBI 2006»
14 years 9 months ago
A classification-based framework for predicting and analyzing gene regulatory response
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chr...
121
Voted
CVPR
2009
IEEE
16 years 4 months ago
Unsupervised Maximum Margin Feature Selection with Manifold Regularization
Feature selection plays a fundamental role in many pattern recognition problems. However, most efforts have been focused on the supervised scenario, while unsupervised feature s...
Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui ...