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COLT
2010
Springer
13 years 6 months ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha
ICML
2001
IEEE
14 years 9 months ago
Constrained K-means Clustering with Background Knowledge
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan ...
BMCBI
2010
146views more  BMCBI 2010»
13 years 9 months ago
Nonnegative principal component analysis for mass spectral serum profiles and biomarker discovery
Background: As a novel cancer diagnostic paradigm, mass spectroscopic serum proteomic pattern diagnostics was reported superior to the conventional serologic cancer biomarkers. Ho...
Henry Han
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
14 years 2 months ago
Finding Resonance: Adaptive Frequency Oscillators for Dynamic Legged Locomotion
— There is much to gain from providing walking machines with passive dynamics, e.g. by including compliant elements in the structure. These elements can offer interesting propert...
Jonas Buchli, Fumiya Iida, Auke Jan Ijspeert
IROS
2006
IEEE
168views Robotics» more  IROS 2006»
14 years 2 months ago
Learning to Drive Among Obstacles
— This paper reports on an outdoor mobile robot that learns to avoid collisions by observing a human driver operate a vehicle equipped with sensors that continuously produce a ma...
Bradley Hamner, Sebastian Scherer, Sanjiv Singh