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KI
1994
Springer
14 years 25 days ago
Combining Spatial and Terminological Reasoning
The paper presentsa method for terminological reasoningabout spatial objects on the basis of a KL-ONE-like framework (LOOM). We apply this method to the domain of deductive geograp...
Volker Haarslev, Ralf Möller, Carsten Schr&ou...
AAAI
2007
13 years 11 months ago
Learning by Combining Observations and User Edits
We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
Vittorio Castelli, Lawrence D. Bergman, Daniel Obl...
ICMLA
2008
13 years 10 months ago
Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins
In this paper, we introduce two new formulations for multi-class multi-kernel relevance vector machines (mRVMs) that explicitly lead to sparse solutions, both in samples and in nu...
Theodoros Damoulas, Yiming Ying, Mark A. Girolami,...
ANLP
1994
98views more  ANLP 1994»
13 years 10 months ago
Combination of Symbolic and Statistical Approaches for Grammatical Knowledge Acquisition
The framework we adopted for customizing linguistic knowledge to individual application domains is an integration of symbolic and statistical approaches. In order to acquire domai...
Masaki Kiyono, Jun-ichi Tsujii
BC
2002
91views more  BC 2002»
13 years 8 months ago
Linear combinations of nonlinear models for predicting human-machine interface forces
ACT This study presents a computational framework that capitalizes on known human neuromechanical characteristics during limb movements in order to predict man-machine interactions...
James L. Patton, Ferdinando A. Mussa-Ivaldi