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JMLR
2002
106views more  JMLR 2002»
13 years 9 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. ...
ML
2002
ACM
143views Machine Learning» more  ML 2002»
13 years 9 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
TKDE
1998
134views more  TKDE 1998»
13 years 9 months ago
Unified Data Model for Representing Multimedia, Timeline, and Simulation Data
—This paper describes a unified data model that represents multimedia, timeline, and simulation data utilizing a single set of related data modeling constructs. A uniform model f...
John D. N. Dionisio, Alfonso F. Cardenas
SIGMOD
2002
ACM
127views Database» more  SIGMOD 2002»
13 years 9 months ago
Workflow management with service quality guarantees
Workflow management systems (WFMS) that are geared for the orchestration of business processes across multiple organizations are complex distributed systems: they consist of multi...
Michael Gillmann, Gerhard Weikum, Wolfgang Wonner
TIP
2002
99views more  TIP 2002»
13 years 9 months ago
Reconstructing images from their most singular fractal manifold
Real world images are complex objects, difficult to describe but at the same time possessing a high degree of redundancy. A very recent study [1] on the statistical properties of n...
Antonio Turiel, Angela del Pozo