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JMLR
2002
106views more  JMLR 2002»
13 years 7 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
ICCV
2011
IEEE
12 years 8 months ago
Learning Cross-modality Similarity for Multinomial Data
Many applications involve multiple-modalities such as text and images that describe the problem of interest. In order to leverage the information present in all the modalities, on...
Yangqing Jia, Mathieu Salzmann, Trevor Darrell
ICRA
1995
IEEE
79views Robotics» more  ICRA 1995»
13 years 11 months ago
Learning to predict Resistive Forces During Robotic Excavation
— Few robot tasks require as forceful an interaction with the world as excavation. In order to effectively plan its actions, our robot excavator requires a method that allows it ...
Sanjiv Singh
ICAI
2008
13 years 9 months ago
Nonrestrictive Concept-Acquisition by Representational Redescription
coarse procedures or very abstract frames from the point of view of algorithm, because some crucial issues like the representation, evolution, storage, and learning process of conc...
Hui Wei, Yan Chen
CLEIEJ
2002
192views more  CLEIEJ 2002»
13 years 8 months ago
Automatic ObjectPascal Code Generation from Catalysis Specifications
This paper presents a Component-based Framework Development Process, of the Cardiology Domain. The Framework, called FrameCardio, was developed in 4 steps: 1Problem Domain Definit...
João Luís Cardoso de Moraes, Ant&oci...