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» Process modeling paradigms: an evaluation
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107
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CIDR
2009
157views Algorithms» more  CIDR 2009»
15 years 1 months ago
Capturing Data Uncertainty in High-Volume Stream Processing
We present the design and development of a data stream system that captures data uncertainty from data collection to query processing to final result generation. Our system focuse...
Yanlei Diao, Boduo Li, Anna Liu, Liping Peng, Char...
108
Voted
PKDD
2010
Springer
183views Data Mining» more  PKDD 2010»
14 years 11 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
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
14 years 10 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
CORR
2012
Springer
183views Education» more  CORR 2012»
13 years 8 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
79
Voted
ISPA
2004
Springer
15 years 6 months ago
A Fault Tolerance Protocol for Uploads: Design and Evaluation
This paper investigates fault tolerance issues in Bistro, a wide area upload architecture. In Bistro, clients first upload their data to intermediaries, known as bistros. A destin...
Leslie Cheung, Cheng-Fu Chou, Leana Golubchik, Yan...