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KDD
2012
ACM
190views Data Mining» more  KDD 2012»
11 years 10 months ago
Multi-label hypothesis reuse
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
Sheng-Jun Huang, Yang Yu, Zhi-Hua Zhou
ICANN
2005
Springer
14 years 1 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
ICDE
2007
IEEE
164views Database» more  ICDE 2007»
14 years 2 months ago
Multi-session Separation of Duties (MSoD) for RBAC
Separation of duties (SoD) is a key security requirement for many business and information systems. Role Based Access Controls (RBAC) is a relatively new paradigm for protecting i...
David W. Chadwick, Wensheng Xu, Sassa Otenko, Roma...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 8 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
ATAL
2004
Springer
14 years 1 months ago
Adaptive, Confidence-Based Multiagent Negotiation Strategy
We propose an adaptive 1-to-many negotiation strategy for multiagent coalition formation in dynamic, uncertain, real-time, and noisy environments. Our strategy focuses on multi-is...
Leen-Kiat Soh, Xin Li