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IJCAI
2007
13 years 6 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
LREC
2008
139views Education» more  LREC 2008»
13 years 6 months ago
Identification of Comparable Argument-Head Relations in Parallel Corpora
We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
Kathrin Spreyer, Jonas Kuhn, Bettina Schrader
DAGSTUHL
2007
13 years 6 months ago
Incentive Compatible Regression Learning
We initiate the study of incentives in a general machine learning framework. We focus on a game-theoretic regression learning setting where private information is elicited from mu...
Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia
COLING
2008
13 years 6 months ago
Other-Anaphora Resolution in Biomedical Texts with Automatically Mined Patterns
This paper proposes an other-anaphora resolution approach in bio-medical texts. It utilizes automatically mined patterns to discover the semantic relation between an anaphor and a...
Bin Chen, Xiaofeng Yang, Jian Su, Chew Lim Tan
ICPR
2008
IEEE
14 years 5 months ago
A discrete-time parallel update algorithm for distributed learning
We present a distributed machine learning framework based on support vector machines that allows classification problems to be solved iteratively through parallel update algorithm...
Christian Bauckhage, Tansu Alpcan
ECCV
2004
Springer
14 years 6 months ago
Reliable Fiducial Detection in Natural Scenes
Reliable detection of fiducial targets in real-world images is addressed in this paper. We show that even the best existing schemes are fragile when exposed to other than laborator...
David Claus, Andrew W. Fitzgibbon