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PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
15 years 2 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 1 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
DMIN
2009
142views Data Mining» more  DMIN 2009»
15 years 1 months ago
Action Selection in Customer Value Optimization: An Approach Based on Covariate-Dependent Markov Decision Processes
Typical methods in CRM marketing include action selection on the basis of Markov Decision Processes with fixed transition probabilities on the one hand, and scoring customers separ...
Angi Roesch, Harald Schmidbauer
ICDE
2007
IEEE
121views Database» more  ICDE 2007»
15 years 10 months ago
dmFSQL: a Server for Data Mining
At present, we have proceeded to extend SQL into a new language called dmFSQL (data mining Fuzzy Structured Query Language) which can be used to solve real problems of Data Mining...
Ramón Alberto Carrasco, María Amparo...
ICCS
2005
Springer
15 years 9 months ago
Hierarchical Infrastructure for Large-Scale Distributed Privacy-Preserving Data Mining
Abstract. Data Mining is often required to be performed among a number of groups of sites, where the precondition is that no privacy of any site should be leaked out to other sites...
Jinlong Wang, Congfu Xu, Huifeng Shen, Yunhe Pan