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» Structure learning of Bayesian networks using constraints
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ISNN
2011
Springer
14 years 7 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
IJCNN
2006
IEEE
15 years 11 months ago
Reinforcement Learning Control for Biped Robot Walking on Uneven Surfaces
— Biped robots based on the concept of (passive) dynamic walking are far simpler than the traditional fullycontrolled walking robots, while achieving a more natural gait and cons...
Shouyi Wang, Jelmer Braaksma, Robert Babuska, Daan...
ICDM
2009
IEEE
112views Data Mining» more  ICDM 2009»
15 years 11 months ago
Resolving Identity Uncertainty with Learned Random Walks
A pervasive problem in large relational databases is identity uncertainty which occurs when multiple entries in a database refer to the same underlying entity in the world. Relati...
Ted Sandler, Lyle H. Ungar, Koby Crammer
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
15 years 6 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
CIKM
2008
Springer
15 years 7 months ago
Learning to link with wikipedia
This paper describes how to automatically cross-reference documents with Wikipedia: the largest knowledge base ever known. It explains how machine learning can be used to identify...
David N. Milne, Ian H. Witten