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ML
2008
ACM
9 years 3 months ago
Transfer in variable-reward hierarchical reinforcement learning
Neville Mehta, Sriraam Natarajan, Prasad Tadepalli...
ML
2008
ACM
9 years 3 months ago
Margin-based first-order rule learning
Abstract We present a new margin-based approach to first-order rule learning. The approach addresses many of the prominent challenges in first-order rule learning, such as the comp...
Ulrich Rückert, Stefan Kramer
ML
2008
ACM
156views Machine Learning» more  ML 2008»
9 years 3 months ago
On the connection between the phase transition of the covering test and the learning success rate in ILP
It is well-known that heuristic search in ILP is prone to plateau phenomena. An explanation can be given after the work of Giordana and Saitta: the ILP covering test is NP-complete...
Érick Alphonse, Aomar Osmani
ML
2008
ACM
162views Machine Learning» more  ML 2008»
9 years 3 months ago
Incorporating prior knowledge in support vector regression
This paper explores the addition of constraints to the linear programming formulation of the support vector regression problem for the incorporation of prior knowledge. Equality an...
Fabien Lauer, Gérard Bloch
ML
2008
ACM
248views Machine Learning» more  ML 2008»
9 years 3 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
ML
2008
ACM
9 years 3 months ago
A linear fit gets the correct monotonicity directions
Let f be a function on Rd that is monotonic in every variable. There are 2d possible assignments to the directions of monotonicity (two per variable). We provide sufficient condit...
Malik Magdon-Ismail, Joseph Sill
ML
2008
ACM
9 years 3 months ago
Inductive process modeling
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
Will Bridewell, Pat Langley, Ljupco Todorovski, Sa...
ML
2008
ACM
9 years 3 months ago
Discovering significant patterns
Pattern discovery techniques, such as association rule discovery, explore large search spaces of potential patterns to find those that satisfy some user-specified constraints. Due...
Geoffrey I. Webb
ML
2008
ACM
128views Machine Learning» more  ML 2008»
9 years 3 months ago
QG/GA: a stochastic search for Progol
Most search techniques within ILP require the evaluation of a large number of inconsistent clauses. However, acceptable clauses typically need to be consistent, and are only found ...
Stephen Muggleton, Alireza Tamaddoni-Nezhad
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