Sciweavers

2512 search results - page 49 / 503
» Learning from Highly Structured Data by Decomposition
Sort
View
AAAI
2008
15 years 3 days ago
Spatial Scaffolding for Sociable Robot Learning
Spatial scaffolding is a naturally occurring human teaching behavior, in which teachers use their bodies to spatially structure the learning environment to direct the attention of...
Cynthia Breazeal, Matt Berlin
TIP
2010
154views more  TIP 2010»
14 years 8 months ago
Projective Nonnegative Graph Embedding
—We present in this paper a general formulation for nonnegative data factorization, called projective nonnegative graph embedding (PNGE), which 1) explicitly decomposes the data ...
Xiaobai Liu, Shuicheng Yan, Hai Jin
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
15 years 10 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
KDD
2002
ACM
130views Data Mining» more  KDD 2002»
15 years 10 months ago
Learning domain-independent string transformation weights for high accuracy object identification
The task of object identification occurs when integrating information from multiple websites. The same data objects can exist in inconsistent text formats across sites, making it ...
Sheila Tejada, Craig A. Knoblock, Steven Minton
CEC
2010
IEEE
14 years 4 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...