113 search results - page 18 / 23 » Structural Machine Learning with Galois Lattice and Graphs |
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
81
Voted
JMLR
2010
14 years 4 months ago
2010
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
83
Voted
KDD
2009
ACM
15 years 4 months ago
2009
ACM
In this paper, we present a technique for visual analysis of documents based on the semantic representation of text in the form of a directed graph, referred to as semantic graph....
ICCV
2007
IEEE
15 years 3 months ago
2007
IEEE
Structural perception of data plays a fundamental role in pattern analysis and machine learning. In this paper, we develop a new structural perception of data based on local conte...