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» Reasoning over Extended ER Models
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ILP
2007
Springer
14 years 2 months ago
Beyond Prediction: Directions for Probabilistic and Relational Learning
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
David D. Jensen
PRICAI
1998
Springer
14 years 1 days ago
Knowledge-Based Formulation of Dynamic Decision Models
We present a new methodology to automate decision making over time and uncertainty. We adopt a knowledge-based model construction approach to support automated and interactive form...
Chenggang Wang, Tze-Yun Leong
ASC
2000
13 years 9 months ago
A New Object-Oriented Stochastic Modeling Language
A new language and inference algorithm for stochastic modeling is presented. This work refines and generalizes the stochastic functional language originally proposed by [1]. The l...
Daniel Pless, George F. Luger, Carl R. Stern
FCSC
2010
170views more  FCSC 2010»
13 years 5 months ago
Formal verification of concurrent programs with read-write locks
Abstract Read-write locking is an important mechanism to improve concurrent granularity, but it is difficult to reason about the safety of concurrent programs with read-write locks...
Ming Fu, Yu Zhang, Yong Li
ILP
1999
Springer
14 years 2 days 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