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» Learning Isometric Separation Maps
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ICML
2006
IEEE
15 years 11 months ago
On a theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum
107
Voted
ML
2008
ACM
110views Machine Learning» more  ML 2008»
14 years 8 months ago
A theory of learning with similarity functions
Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a ...
Maria-Florina Balcan, Avrim Blum, Nathan Srebro
96
Voted
NIPS
1994
14 years 11 months ago
Catastrophic Interference in Human Motor Learning
Biological sensorimotor systems are not static maps that transform input sensory information into output motor behavior. Evidence from many lines of research suggests that their r...
Tom Brashers-Krug, Reza Shadmehr, Emanuel Todorov
ICML
2007
IEEE
15 years 11 months ago
Nonlinear independent component analysis with minimal nonlinear distortion
Nonlinear ICA may not result in nonlinear blind source separation, since solutions to nonlinear ICA are highly non-unique. In practice, the nonlinearity in the data generation pro...
Kun Zhang, Laiwan Chan
84
Voted
AR
2007
111views more  AR 2007»
14 years 10 months ago
Acquisition of joint attention through natural interaction utilizing motion cues
Joint attention is one of the most important cognitive functions for the emergence of communication not only between humans but also between humans and robots. In the previous wor...
Hidenobu Sumioka, Koh Hosoda, Yuichiro Yoshikawa, ...