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NIPS
2001
15 years 8 months ago
Spectral Relaxation for K-means Clustering
The popular K-means clustering partitions a data set by minimizing a sum-of-squares cost function. A coordinate descend method is then used to nd local minima. In this paper we sh...
Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming ...
IJCAI
2003
15 years 8 months ago
Evaluating Classifiers by Means of Test Data with Noisy Labels
Often the most expensive and time-consuming task in building a pattern recognition system is col­ lecting and accurately labeling training and testing data. In this paper, we exp...
Chuck P. Lam, David G. Stork
SODA
2004
ACM
91views Algorithms» more  SODA 2004»
15 years 8 months ago
Competitive analysis of organization networks or multicast acknowledgement: how much to wait?
We study, from the competitive analysis perspective, the trade off between communication cost and delay cost (or simply the sendor-wait dilemma) on a hierarchy (rooted tree). The p...
Carlos Brito, Elias Koutsoupias, Shailesh Vaya
SODA
2004
ACM
137views Algorithms» more  SODA 2004»
15 years 8 months ago
The Bloomier filter: an efficient data structure for static support lookup tables
We introduce the Bloomier filter, a data structure for compactly encoding a function with static support in order to support approximate evaluation queries. Our construction gener...
Bernard Chazelle, Joe Kilian, Ronitt Rubinfeld, Ay...
WSC
2001
15 years 8 months ago
A new approach to pricing American-style derivatives
This paper presents a new approach to pricing Americanstyle derivatives. By approximating the value function with a piecewise linear interpolation function, the option holder'...
Scott B. Laprise, Michael C. Fu, Steven I. Marcus,...