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115
Voted
ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
15 years 9 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
119
Voted
TKDE
2010
168views more  TKDE 2010»
15 years 2 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...
125
Voted
ICDE
2007
IEEE
96views Database» more  ICDE 2007»
15 years 7 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
132
Voted
ICML
2009
IEEE
16 years 4 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
121
Voted
ISI
2007
Springer
15 years 9 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