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ICIC
2005
Springer
14 years 3 months ago
Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
In recent years, mining with imbalanced data sets receives more and more attentions in both theoretical and practical aspects. This paper introduces the importance of imbalanced da...
Hui Han, Wenyuan Wang, Binghuan Mao
ETT
2002
93views Education» more  ETT 2002»
13 years 9 months ago
Quantum simulation - rare event simulation by means of cloning, thinning and distortion
A method of rare event simulation, termed here quantum simulation, and known also (with some variations) as population Monte Carlo, and Sequential Markov Chain simulation, is appli...
R. G. Addie
MIDDLEWARE
2004
Springer
14 years 3 months ago
The Peer Sampling Service: Experimental Evaluation of Unstructured Gossip-Based Implementations
In recent years, the gossip-based communication model in large-scale distributed systems has become a general paradigm with important applications which include information dissemi...
Márk Jelasity, Rachid Guerraoui, Anne-Marie...
IJCAI
2003
13 years 11 months ago
Gaussian Process Models of Spatial Aggregation Algorithms
Multi-level spatial aggregates are important for data mining in a variety of scientific and engineering applications, from analysis of weather data (aggregating temperature and p...
Naren Ramakrishnan, Christopher Bailey-Kellogg
DAC
2010
ACM
13 years 10 months ago
Parallel hierarchical cross entropy optimization for on-chip decap budgeting
Decoupling capacitor (decap) placement has been widely adopted as an effective way to suppress dynamic power supply noise. Traditional decap budgeting algorithms usually explore t...
Xueqian Zhao, Yonghe Guo, Zhuo Feng, Shiyan Hu