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» Topic Models Conditioned on Relations
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ICML
2001
IEEE
15 years 10 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
95
Voted
JSW
2008
96views more  JSW 2008»
14 years 9 months ago
A Collaborative Inter-Data Grid Strong Semantic Model with Hybrid Namespace
The Data Grid, like all other collaboration models, has strict rules for contributors to follow and many criteria to abide with. Namespace is one of the rules that govern the contr...
Dalia El-Mansy, Ahmed Sameh
ACRI
2004
Springer
15 years 1 months ago
Learning What to Eat: Studying Inter-relations Between Learning, Grouping, and Environmental Conditions in an Artificial World
Abstract. In this paper we develop an artificial world model to investigate how environmental conditions affect opportunities for learning. We model grouping entities that learn wh...
Daniel J. van der Post, Paulien Hogeweg
ILP
1999
Springer
15 years 1 months ago
Probabilistic Relational Models
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Daphne Koller
ASIACRYPT
2008
Springer
14 years 11 months ago
Sufficient Conditions for Intractability over Black-Box Groups: Generic Lower Bounds for Generalized DL and DH Problems
Abstract. The generic (aka. black-box) group model is a valuable methodology for analyzing the computational hardness of number-theoretic problems used in cryptography. Since the p...
Andy Rupp, Gregor Leander, Endre Bangerter, Alexan...