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ICML
2008
IEEE
16 years 7 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
164
Voted
WWW
2007
ACM
16 years 6 months ago
Querying and maintaining a compact XML storage
As XML database sizes grow, the amount of space used for storing the data and auxiliary data structures becomes a major factor in query and update performance. This paper presents...
Raymond K. Wong, Franky Lam, William M. Shui
160
Voted
HPCA
2009
IEEE
16 years 6 months ago
Eliminating microarchitectural dependency from Architectural Vulnerability
The Architectural Vulnerability Factor (AVF) of a hardware structure is the probability that a fault in the structure will affect the output of a program. AVF captures both microa...
Vilas Sridharan, David R. Kaeli
MOBIHOC
2009
ACM
16 years 6 months ago
Improved bounds on the throughput efficiency of greedy maximal scheduling in wireless networks
Due to its low complexity, Greedy Maximal Scheduling (GMS), also known as Longest Queue First (LQF), has been studied extensively for wireless networks. However, GMS can result in...
Mathieu Leconte, Jian Ni, Rayadurgam Srikant
KDD
2008
ACM
167views Data Mining» more  KDD 2008»
16 years 6 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
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