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JMLR
2010
119views more  JMLR 2010»
13 years 3 months ago
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data
Different aspects of the curse of dimensionality are known to present serious challenges to various machine-learning methods and tasks. This paper explores a new aspect of the dim...
Milos Radovanovic, Alexandros Nanopoulos, Mirjana ...
JMLR
2010
230views more  JMLR 2010»
13 years 3 months ago
Learning Dissimilarities for Categorical Symbols
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...
HT
1999
ACM
14 years 1 months ago
Control Choices and Network Effects in Hypertext Systems
When the utility of a hypertext system depends on the number of users and amount of data in the system, the system exhibits network effects. This paper examines how the core diffe...
E. James Whitehead Jr.
CCR
2002
103views more  CCR 2002»
13 years 8 months ago
King: estimating latency between arbitrary internet end hosts
The ability to estimate network latencies between arbitrary Internet end hosts would enable new measurement studies and applications, such as investigating routing path inefficien...
P. Krishna Gummadi, Stefan Saroiu, Steven D. Gribb...
IMC
2009
ACM
14 years 3 months ago
Triangle inequality variations in the internet
Triangle inequality violations (TIVs) are important for latency sensitive distributed applications. On one hand, they can expose opportunities to improve network routing by findi...
Cristian Lumezanu, Randolph Baden, Neil Spring, Bo...