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KDD
2012
ACM
201views Data Mining» more  KDD 2012»
12 years 12 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
SIGMOD
2006
ACM
145views Database» more  SIGMOD 2006»
15 years 9 months ago
Automatic client-server partitioning of data-driven web applications
Current application development tools provide completely different programming models for the application server (e.g., Java and J2EE) and the client web browser (e.g., JavaScript...
Nicholas Gerner, Fan Yang 0002, Alan J. Demers, Jo...
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
15 years 2 months ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou
CACM
2010
179views more  CACM 2010»
14 years 9 months ago
x86-TSO: a rigorous and usable programmer's model for x86 multiprocessors
Exploiting the multiprocessors that have recently become ubiquitous requires high-performance and reliable concurrent systems code, for concurrent data structures, operating syste...
Peter Sewell, Susmit Sarkar, Scott Owens, Francesc...
JMLR
2012
12 years 12 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...