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COLT
2010
Springer
14 years 10 months ago
Robust Hierarchical Clustering
One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across many different fields ranging from computational...
Maria-Florina Balcan, Pramod Gupta
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 2 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
SIGCSE
2006
ACM
362views Education» more  SIGCSE 2006»
15 years 5 months ago
Chirp on crickets: teaching compilers using an embedded robot controller
Traditionally, the topics of compiler construction and language processing have been taught as an elective course in Computer Science curricula. As such, students may graduate wit...
Li Xu, Fred G. Martin
ML
2006
ACM
143views Machine Learning» more  ML 2006»
14 years 11 months ago
Mathematical applications of inductive logic programming
The application of Inductive Logic Programming to scientific datasets has been highly successful. Such applications have led to breakthroughs in the domain of interest and have dri...
Simon Colton, Stephen Muggleton
IROS
2008
IEEE
191views Robotics» more  IROS 2008»
15 years 6 months ago
Local Gaussian process regression for real-time model-based robot control
— High performance and compliant robot control requires accurate dynamics models which cannot be obtained analytically for sufficiently complex robot systems. In such cases, mac...
Duy Nguyen-Tuong, Jan Peters