Sciweavers

3416 search results - page 94 / 684
» Can Machines Learn Logics
Sort
View
ICML
2002
IEEE
16 years 7 months ago
Learning to Share Distributed Probabilistic Beliefs
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
Christopher Leckie, Kotagiri Ramamohanarao
ISCAS
1999
IEEE
72views Hardware» more  ISCAS 1999»
15 years 10 months ago
Shape-based sequential machine analysis
In this paper, the problem of determining if a given sequential specification can be made to fit a predetermined set of shape constraints is explored. Shape constraints are constr...
A. Crews, F. Brewer
ILP
2004
Springer
15 years 11 months ago
Macro-Operators Revisited in Inductive Logic Programming
For the last ten years a lot of work has been devoted to propositionalization techniques in relational learning. These techniques change the representation of relational problems t...
Érick Alphonse
CGF
2005
252views more  CGF 2005»
15 years 6 months ago
Support Vector Machines for 3D Shape Processing
We propose statistical learning methods for approximating implicit surfaces and computing dense 3D deformation fields. Our approach is based on Support Vector (SV) Machines, which...
Florian Steinke, Bernhard Schölkopf, Volker B...
ISBRA
2011
Springer
14 years 9 months ago
Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction
Abstract. Protein homology prediction is a crucial step in templatebased protein structure prediction. The functions that rank the proteins in a database according to their homolog...
Yan Fu, Rong Pan, Qiang Yang, Wen Gao