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» Dynamic Modeling in Inductive Inference
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ALT
2003
Springer
13 years 11 months ago
Can Learning in the Limit Be Done Efficiently?
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
Thomas Zeugmann
DBSEC
2006
160views Database» more  DBSEC 2006»
13 years 9 months ago
On Finding an Inference-Proof Complete Database for Controlled Query Evaluation
Abstract. Controlled Query Evaluation (CQE) offers a logical framework to prevent a user of a database from inadvertently gaining knowledge he is not allowed to know. By modeling t...
Joachim Biskup, Lena Wiese
AIED
2005
Springer
14 years 1 months ago
Inferring learning and attitudes from a Bayesian Network of log file data
A student's goals and attitudes while interacting with a tutor are typically unseen and unknowable. However their outward behavior (e.g. problem-solving time, mistakes and hel...
Ivon Arroyo, Beverly Park Woolf
IDA
2005
Springer
14 years 1 months ago
Combining Bayesian Networks with Higher-Order Data Representations
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
Elias Gyftodimos, Peter A. Flach
ML
2006
ACM
131views Machine Learning» more  ML 2006»
13 years 7 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos