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» Learning Stochastic Logic Programs
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VL
2010
IEEE
216views Visual Languages» more  VL 2010»
13 years 6 months ago
Explanatory Debugging: Supporting End-User Debugging of Machine-Learned Programs
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a “prog...
Todd Kulesza, Simone Stumpf, Margaret M. Burnett, ...
ENTCS
2006
100views more  ENTCS 2006»
13 years 7 months ago
Towards a Logic for Performance and Mobility
Klaim is an experimental language designed for modeling and programming distributed systems composed of mobile components where distribution awareness and dynamic system architect...
Rocco De Nicola, Joost-Pieter Katoen, Diego Latell...
IJIT
2004
13 years 9 months ago
Combining ILP with Semi-supervised Learning for Web Page Categorization
This paper presents a semi-supervised learning algorithm called Iterative-Cross Training (ICT) to solve the Web pages classification problems. We apply Inductive logic programming ...
Nuanwan Soonthornphisaj, Boonserm Kijsirikul
UAI
2008
13 years 9 months ago
Improving the Accuracy and Efficiency of MAP Inference for Markov Logic
In this work we present Cutting Plane Inference (CPI), a Maximum A Posteriori (MAP) inference method for Statistical Relational Learning. Framed in terms of Markov Logic and inspi...
Sebastian Riedel
RAS
2008
112views more  RAS 2008»
13 years 7 months ago
Learning and generalising semantic knowledge from object scenes
The robot described in this paper learns words that relate to objects and their attributes and also learns concepts, which may be recursive, that involve relationships between sev...
Claire D'Este, Claude Sammut