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CORR
2010
Springer
92views Education» more  CORR 2010»
13 years 6 months ago
Random Projections for $k$-means Clustering
This paper discusses the topic of dimensionality reduction for k-means clustering. We prove that any set of n points in d dimensions (rows in a matrix A ∈ Rn×d ) can be project...
Christos Boutsidis, Anastasios Zouzias, Petros Dri...
PKDD
2005
Springer
101views Data Mining» more  PKDD 2005»
14 years 1 months ago
A Random Method for Quantifying Changing Distributions in Data Streams
In applications such as fraud and intrusion detection, it is of great interest to measure the evolving trends in the data. We consider the problem of quantifying changes between tw...
Haixun Wang, Jian Pei
FOCS
1990
IEEE
13 years 11 months ago
Simple Constructions of Almost k-Wise Independent Random Variables
We present three alternative simple constructions of small probability spaces on n bits for which any k bits are almost independent. The number of bits used to specify a point in ...
Noga Alon, Oded Goldreich, Johan Håstad, Ren...
AAAI
1994
13 years 9 months ago
An Algorithm for Probabilistic Least-Commitment Planning
We de ne the probabilistic planning problem in terms of a probability distribution over initial world states, a boolean combination of goal propositions, a probability threshold, ...
Nicholas Kushmerick, Steve Hanks, Daniel S. Weld
NIPS
2003
13 years 9 months ago
On the Concentration of Expectation and Approximate Inference in Layered Networks
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
XuanLong Nguyen, Michael I. Jordan