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» An Approach To Data Distributions in Chapel
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SDM
2008
SIAM
122views Data Mining» more  SDM 2008»
15 years 9 months ago
Type-Independent Correction of Sample Selection Bias via Structural Discovery and Re-balancing
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
Jiangtao Ren, Xiaoxiao Shi, Wei Fan, Philip S. Yu
WISE
2009
Springer
16 years 4 months ago
Aggregation of Document Frequencies in Unstructured P2P Networks
Peer-to-peer (P2P) systems have been recently proposed for providing search and information retrieval facilities over distributed data sources, including web data. Terms and their ...
Robert Neumayer, Christos Doulkeridis, Kjetil N&os...
AI
2009
Springer
16 years 2 months ago
Cost-Based Sampling of Individual Instances
In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
William Klement, Peter A. Flach, Nathalie Japkowic...
IAT
2006
IEEE
16 years 1 months ago
Toward Inductive Logic Programming for Collaborative Problem Solving
In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
Jian Huang, Adrian R. Pearce
ICPP
1998
IEEE
15 years 11 months ago
A memory-layout oriented run-time technique for locality optimization
Exploiting locality at run-time is a complementary approach to a compiler approach for those applications with dynamic memory access patterns. This paper proposes a memory-layout ...
Yong Yan, Xiaodong Zhang, Zhao Zhang