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ECML
2004
Springer
14 years 2 months ago
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Rong Jin, Huan Liu
ICPP
2007
IEEE
14 years 2 months ago
An Effective Strategy for Porting C++ Applications on Cell
In this paper we present a solution for efficient porting of sequential C++ applications on the Cell B.E. processor. We present our step-by-step approach, focusing on its general...
Ana Lucia Varbanescu, Henk J. Sips, Kenneth A. Ros...
MOBISYS
2005
ACM
14 years 8 months ago
Improving TCP performance over wireless networks with collaborative multi-homed mobile hosts
Multi-homed mobile hosts situated in physical proximity may spontaneously team up to run high-bandwidth applications by pooling their low wireless wide-area network (WWAN) bandwid...
Kyu-Han Kim, Kang G. Shin
IPPS
2010
IEEE
13 years 6 months ago
Improving MapReduce performance through data placement in heterogeneous Hadoop clusters
MapReduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Hadoop
Jiong Xie, Shu Yin, Xiaojun Ruan, Zhiyang Ding, Yu...
JPDC
2007
86views more  JPDC 2007»
13 years 8 months ago
Performance evaluation of a new scheduling algorithm for distributed systems with security heterogeneity
High quality of security is increasingly critical for applications running on heterogeneous distributed systems. However, existing scheduling algorithms for heterogeneous distribu...
Tao Xie 0004, Xiao Qin