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» Structural Inference for Semistructured Data
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CSDA
2007
87views more  CSDA 2007»
14 years 10 months ago
Estimation and inference in functional mixed-effects models
Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects model...
Anestis Antoniadis, Theofanis Sapatinas
CVPR
2006
IEEE
16 years 2 days ago
Spectral Methods for Automatic Multiscale Data Clustering
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
Arik Azran, Zoubin Ghahramani
KDD
2003
ACM
128views Data Mining» more  KDD 2003»
15 years 10 months ago
Similarity analysis on government regulations
Government regulations are semi-structured text documents that are often voluminous, heavily cross-referenced between provisions and even ambiguous. Multiple sources of regulation...
Gloria T. Lau, Kincho H. Law, Gio Wiederhold
SIGMOD
2006
ACM
194views Database» more  SIGMOD 2006»
15 years 10 months ago
Graph-based synopses for relational selectivity estimation
This paper introduces the Tuple Graph (TuG) synopses, a new class of data summaries that enable accurate selectivity estimates for complex relational queries. The proposed summari...
Joshua Spiegel, Neoklis Polyzotis
HICSS
2009
IEEE
134views Biometrics» more  HICSS 2009»
15 years 4 months ago
Exploring Two Enterprise Semantic Integration Systems
An Enterprise Semantic Integration System (ESIS) provides cross-domain and cross-department insights by normalizing and merging structured, semistructured, and unstructured data s...
Mark Ginsburg, Alex Kass, Peter Z. Yeh