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SIGIR
2011
ACM
13 years 1 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
IJCAI
1997
14 years 5 days ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida
NORDICHI
2004
ACM
14 years 4 months ago
Supporting the distributed family: the need for a conversational context
Two studies on how to support communication between grandparents and grandchildren are presented. The first study, an interview with 12 parents, investigates the conversation betw...
Bente Evjemo, Gunnvald B. Svendsen, Eivind Rinde, ...
IROS
2006
IEEE
247views Robotics» more  IROS 2006»
14 years 4 months ago
Towards Open-Ended 3D Rotation and Shift Invariant Object Detection for Robot Companions
- Robot companions need to be able to constantly acquire knowledge about new objects for instance in order to detect them in the environment. This ability is necessary since it is ...
Jens Kubacki, Winfried Baum
EMNLP
2010
13 years 8 months ago
Confidence in Structured-Prediction Using Confidence-Weighted Models
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Avihai Mejer, Koby Crammer