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» Incremental Knowledge Acquisition for Improving Probabilisti...
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KCAP
2003
ACM
12 years 2 months ago
Building large knowledge bases by mass collaboration
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...
Matthew Richardson, Pedro Domingos
KDD
2010
ACM
259views Data Mining» more  KDD 2010»
12 years 1 months ago
A probabilistic model for personalized tag prediction
Social tagging systems have become increasingly popular for sharing and organizing web resources. Tag recommendation is a common feature of social tagging systems. Social tagging ...
Dawei Yin, Zhenzhen Xue, Liangjie Hong, Brian D. D...
ATAL
2010
Springer
11 years 10 months ago
Merging example plans into generalized plans for non-deterministic environments
We present a new approach for finding generalized contingent plans with loops and branches in situations where there is uncertainty in state properties and object quantities, but ...
Siddharth Srivastava, Neil Immerman, Shlomo Zilber...
JCDL
2006
ACM
92views Education» more  JCDL 2006»
12 years 3 months ago
Probabilistic, object-oriented logics for annotation-based retrieval in digital libraries
In this paper we introduce POLAR, a probabilistic objectoriented logical framework for annotation-based information retrieval. In POLAR, the knowledge about digital objects, annot...
Ingo Frommholz, Norbert Fuhr
WWW
2005
ACM
12 years 10 months ago
Improving recommendation lists through topic diversification
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
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