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» Combining Logic and Machine Learning for Answering Questions
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KI
2007
Springer
14 years 1 months ago
Relational Exploration - Reconciling Plato and Aristotle
Abstract. We provide an interactive method for knowledge acquisition combining approaches from description logic and formal concept analysis. Based on present data, hypothetical ru...
Sebastian Rudolph
COLT
2008
Springer
13 years 9 months ago
High-Probability Regret Bounds for Bandit Online Linear Optimization
We present a modification of the algorithm of Dani et al. [8] for the online linear optimization problem in the bandit setting, which with high probability has regret at most O ( ...
Peter L. Bartlett, Varsha Dani, Thomas P. Hayes, S...
AAAI
2006
13 years 9 months ago
kFOIL: Learning Simple Relational Kernels
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
Niels Landwehr, Andrea Passerini, Luc De Raedt, Pa...
ML
2000
ACM
13 years 7 months ago
Randomizing Outputs to Increase Prediction Accuracy
Bagging and boosting reduce error by changing both the inputs and outputs to form perturbed training sets, grow predictors on these perturbed training sets and combine them. A que...
Leo Breiman
CORR
2010
Springer
86views Education» more  CORR 2010»
13 years 7 months ago
Online Scheduling on Identical Machines using SRPT
Due to its optimality on a single machine for the problem of minimizing average flow time, ShortestRemaining-Processing-Time (SRPT) appears to be the most natural algorithm to con...
Kyle Fox, Benjamin Moseley