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154
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NIPS
2008
15 years 5 months ago
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
Yi Zhang 0010, Jeff Schneider, Artur Dubrawski
131
Voted
EDUTAINMENT
2006
Springer
15 years 7 months ago
Trans-disciplinary Avenues in Education: Computing and Art
In this paper we report on an interdisciplinary course "Computing and Art" taught at the Sabanci University, Istanbul for the first time in fall of 2004. We also present...
Selim Balcisoy, Elif E. Ayiter
153
Voted
DILS
2005
Springer
15 years 9 months ago
Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources
Abstract. We present INDUS (Intelligent Data Understanding System), a federated, query-centric system for knowledge acquisition from autonomous, distributed, semantically heterogen...
Doina Caragea, Jyotishman Pathak, Jie Bao, Adrian ...
AAAI
2007
15 years 6 months ago
Learning by Combining Observations and User Edits
We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
Vittorio Castelli, Lawrence D. Bergman, Daniel Obl...
137
Voted
PKDD
2005
Springer
164views Data Mining» more  PKDD 2005»
15 years 9 months ago
Clustering and Prediction of Mobile User Routes from Cellular Data
Location-awareness and prediction of future locations is an important problem in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily availabl...
Kari Laasonen