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» Alternative similarity functions for graph kernels
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ICPR
2008
IEEE
13 years 11 months ago
Alternative similarity functions for graph kernels
Given a bipartite graph of collaborative ratings, the task of recommendation and rating prediction can be modeled with graph kernels. We interpret these graph kernels as the inver...
Jérôme Kunegis, Andreas Lommatzsch, C...
AI
2010
Springer
13 years 4 months ago
Kernel functions for case-based planning
Case-based planning can take advantage of former problem-solving experiences by storing in a plan library previously generated plans that can be reused to solve similar planning p...
Ivan Serina
BIBM
2009
IEEE
206views Bioinformatics» more  BIBM 2009»
13 years 11 months ago
Application of Kernel Functions for Accurate Similarity Search in Large Chemical Databases
Background: Similaritysearch in chemical structure databases is an important problem with many applications in chemical genomics, drug design, and efficient chemical probe screeni...
Xiaohong Wang, Jun Huan, Aaron M. Smalter, Gerald ...
ICML
2006
IEEE
14 years 5 months ago
On a theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum
ACL
2003
13 years 6 months ago
Hierarchical Directed Acyclic Graph Kernel: Methods for Structured Natural Language Data
This paper proposes the “Hierarchical Directed Acyclic Graph (HDAG) Kernel” for structured natural language data. The HDAG Kernel directly accepts several levels of both chunk...
Jun Suzuki, Tsutomu Hirao, Yutaka Sasaki, Eisaku M...