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ALT
2005
Springer
16 years 3 months ago
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
Nick Palmer, Paul W. Goldberg
IPPS
2008
IEEE
16 years 1 months ago
Parallel mining of closed quasi-cliques
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
Yuzhou Zhang, Jianyong Wang, Zhiping Zeng, Lizhu Z...
HPDC
2007
IEEE
16 years 29 days ago
Precise and realistic utility functions for user-centric performance analysis of schedulers
Utility functions can be used to represent the value users attach to job completion as a function of turnaround time. Most previous scheduling research used simple synthetic repre...
Cynthia Bailey Lee, Allan Snavely
CIS
2007
Springer
16 years 24 days ago
Mining with Noise Knowledge: Error Aware Data Mining
—Real-world data mining deals with noisy information sources where data collection inaccuracy, device limitations, data transmission and discretization errors, or man-made pertur...
Xindong Wu
HPDC
2010
IEEE
15 years 7 months ago
AzureBlast: a case study of developing science applications on the cloud
Cloud computing has emerged as a new approach to large scale computing and is attracting a lot of attention from the scientific and research computing communities. Despite its gro...
Wei Lu, Jared Jackson, Roger S. Barga