15073 search results - page 140 / 3015 » Probabilistic algorithms for computing resultants |
160
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CSDA
2004
15 years 3 months ago
2004
Variable selection consists in identifying a k-subset of a set of original variables that is optimal for a given criterion of adequate approximation to the whole data set. Several...
144
Voted
KDD
2008
ACM
16 years 4 months ago
2008
ACM
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
125
Voted
SDM
2010
SIAM
15 years 5 months ago
2010
SIAM
Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
122
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
149
Voted
WABI
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. Parameter estimation of large bio-pathway models is an important and difficult problem. To reduce the prohibitive computational cost, one approach is to decompose a large...