1658 search results - page 150 / 332 » Learning Unknown Graphs |
133
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
136
Voted
ICDM
2006
IEEE
15 years 8 months ago
2006
IEEE
We present a method for finding biologically meaningful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data t...
143
Voted
ML
2010
ACM
15 years 1 months ago
2010
ACM
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
100
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PKDD
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. We propose a new graph-based label propagation algorithm for transductive learning. Each example is associated with a vertex in an undirected graph and a weighted edge be...
141
Voted
ECML
2006
Springer
15 years 6 months ago
2006
Springer
This paper presents a decoupled two stage solution to the multiple-instance learning (MIL) problem. With a constructed affinity matrix to reflect the instance relations, a modified...