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JMLR
2010
95views more  JMLR 2010»
14 years 11 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
158
Voted
CORR
2012
Springer
185views Education» more  CORR 2012»
14 years 22 days ago
Bayesian network learning with cutting planes
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
James Cussens
145
Voted
ECCV
2006
Springer
16 years 7 months ago
Riemannian Manifold Learning for Nonlinear Dimensionality Reduction
In recent years, nonlinear dimensionality reduction (NLDR) techniques have attracted much attention in visual perception and many other areas of science. We propose an efficient al...
Tony Lin, Hongbin Zha, Sang Uk Lee
ICDE
2007
IEEE
115views Database» more  ICDE 2007»
16 years 6 months ago
SPRITE: A Learning-Based Text Retrieval System in DHT Networks
In this paper, we propose SPRITE (Selective PRogressive Index Tuning by Examples), a scalable system for text retrieval in a structured P2P network. Under SPRITE, each peer is res...
Yingguang Li, H. V. Jagadish, Kian-Lee Tan
ICWL
2009
Springer
15 years 11 months ago
Enhancing the Social Capital of Learning Communities by Using an Ad Hoc Transient Communities Service
In online learning, communities can help to enhance learning. However, because of the dynamic nature of communities, attaining and sustaining these communities can be difficult. On...
Sibren Fetter, Adriana J. Berlanga, Peter B. Sloep