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181
Voted
ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
16 years 1 months ago
On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts
— This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
Sylvain Calinon, Florent Guenter, Aude Billard
TKDE
2010
168views more  TKDE 2010»
15 years 5 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
191
Voted
ICDE
2007
IEEE
96views Database» more  ICDE 2007»
15 years 10 months ago
Mining Software Data
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of softwar...
Burak Turhan, F. Onur Kutlubay
175
Voted
ICML
2009
IEEE
16 years 7 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
ISI
2007
Springer
16 years 1 months ago
A Combinatorial Approach to Measuring Anonymity
— In this paper we define a new metric for quantifying the degree of anonymity collectively afforded to users of an anonymous communication system. We show how our metric, based...
Matthew Edman, Fikret Sivrikaya, Bülent Yener