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» Why collective inference improves relational classification
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81
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KDD
2003
ACM
114views Data Mining» more  KDD 2003»
15 years 10 months ago
Information awareness: a prospective technical assessment
Recent proposals to apply data mining systems to problems in law enforcement, national security, and fraud detection have attracted both media attention and technical critiques of...
David Jensen, Matthew J. Rattigan, Hannah Blau
JUCS
2008
100views more  JUCS 2008»
14 years 10 months ago
Stacked Dependency Networks for Layout Document Structuring
: We address the problems of structuring and annotation of layout-oriented documents. We model the annotation problems as the collective classification on graph-like structures wit...
Boris Chidlovskii, Loïc Lecerf
80
Voted
COMCOM
2004
138views more  COMCOM 2004»
14 years 10 months ago
Issues with inferring Internet topological attributes
A number of recent studies of Internet network structure are based on data collected from inter-domain BGP routing tables and tools, such as traceroute, to probe end-to-end paths....
Lisa Amini, Anees Shaikh, Henning Schulzrinne
84
Voted
JCIT
2008
124views more  JCIT 2008»
14 years 10 months ago
A Knowledge based Approach Using Fuzzy Inference Rules for Vowel Recognition
Automatic speech recognition by machine is one of the most efficient methods for man-machine communications. Because speech waveform is nonlinear and variant. Speech recognition r...
Hrudaya K. Tripathy, B. K. Tripathy, Pradip K. Das
ICDM
2008
IEEE
92views Data Mining» more  ICDM 2008»
15 years 4 months ago
A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...
Pelin Angin, Jennifer Neville