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» Incremental Learning in Inductive Programming
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MOZ
2004
Springer
14 years 2 days ago
An Interactive Tool for the Controlled Execution of an Automated Timetabling Constraint Engine
Abstract. Here we introduce DePathos, a graphical tool for a timetabling constraint engine (Pathos). Since the core of Pathos is textbased and provides little user-interaction, fi...
Alberto Delgado, Jorge Andrés Pérez,...
JMLR
2012
11 years 9 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
NIPS
2007
13 years 8 months ago
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
CORR
2007
Springer
172views Education» more  CORR 2007»
13 years 6 months ago
A Data-Parallel Version of Aleph
This is to present work on modifying the Aleph ILP system so that it evaluates the hypothesised clauses in parallel by distributing the data-set among the nodes of a parallel or di...
Stasinos Konstantopoulos
AROBOTS
1999
104views more  AROBOTS 1999»
13 years 6 months ago
Reinforcement Learning Soccer Teams with Incomplete World Models
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
Marco Wiering, Rafal Salustowicz, Jürgen Schm...