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SAINT
2005
IEEE
15 years 11 months ago
Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
ICML
2007
IEEE
16 years 7 months ago
Multifactor Gaussian process models for style-content separation
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
Jack M. Wang, David J. Fleet, Aaron Hertzmann
CVPR
2003
IEEE
16 years 8 months ago
Kernel Principal Angles for Classification Machines with Applications to Image Sequence Interpretation
We consider the problem of learning with instances defined over a space of sets of vectors. We derive a new positive definite kernel f(A B) defined over pairs of matrices A B base...
Lior Wolf, Amnon Shashua
BPM
2009
Springer
153views Business» more  BPM 2009»
15 years 7 months ago
DECLARE Demo: A Constraint-based Workflow Management System
Abstract. Mainstream workflow management systems are using procedural languages ranging from BPMN and EPCs to BPEL and YAWL. By demonstrating DECLARE, we will show that it is also ...
Maja Pesic, Helen Schonenberg, Wil M. P. van der A...
ECML
2005
Springer
15 years 11 months ago
Learning to Complete Sentences
Abstract. We consider the problem of predicting how a user will continue a given initial text fragment. Intuitively, our goal is to develop a “tab-complete” function for natura...
Steffen Bickel, Peter Haider, Tobias Scheffer