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» On Kernel Methods for Relational Learning
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161
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SIGIR
2011
ACM
14 years 5 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
KDD
2001
ACM
166views Data Mining» more  KDD 2001»
16 years 2 months ago
Generalized clustering, supervised learning, and data assignment
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoo...
117
Voted
MCS
2001
Springer
15 years 7 months ago
Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis
One of the main factors affecting the effectiveness of ECOC methods for classification is the dependence among the errors of the computed codeword bits. We present an extensive ...
Francesco Masulli, Giorgio Valentini
112
Voted
LREC
2010
166views Education» more  LREC 2010»
15 years 4 months ago
Corpora for Automatically Learning to Map Natural Language Questions into SQL Queries
Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem c...
Alessandra Giordani, Alessandro Moschitti
HCI
2009
15 years 10 days ago
Mixing Content and Endless Collaboration - MashUps: Towards Future Personal Learning Environments
The recent movement by major Web services towards making many application programming interfaces (APIs) available for public use has led to the development of the new MashUp techno...
Andreas Auinger, Martin Ebner, Dietmar Nedbal, And...