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126
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PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
15 years 1 months ago
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
Zhao Xu, Kristian Kersting, Thorsten Joachims
151
Voted
IFIPTCS
2010
15 years 21 days ago
A Semiring-Based Trace Semantics for Processes with Applications to Information Leakage Analysis
Abstract. We propose a framework for reasoning about program security building on language-theoretic and coalgebraic concepts. The behaviour of a system is viewed as a mapping from...
Michele Boreale, David Clark, Daniele Gorla
166
Voted
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 20 days 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
130
Voted
HCI
2009
15 years 16 days ago
Impact on Performance and Process by a Social Annotation System: A Social Reading Experiment
Social annotation systems such as SparTag.us and del.icio.us have been designed to encourage individual reading and marking behaviors that, when shared, accumulate to build collect...
Les Nelson, Gregorio Convertino, Peter Pirolli, Li...
176
Voted
JMLR
2010
184views more  JMLR 2010»
14 years 9 months ago
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
Yener Ülker, Bilge Günsel, Ali Taylan Ce...