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KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 7 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
ICRA
2009
IEEE
169views Robotics» more  ICRA 2009»
16 years 1 months ago
Task-level imitation learning using variance-based movement optimization
— Recent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to ...
Manuel Mühlig, Michael Gienger, Sven Hellbach...
CIARP
2009
Springer
16 years 1 months ago
Learning Relational Grammars from Sequences of Actions
Many tasks can be described by sequences of actions that normally exhibit some form of structure and that can be represented by a grammar. This paper introduces FOSeq, an algorithm...
Blanca Vargas-Govea, Eduardo F. Morales
ADC
2006
Springer
188views Database» more  ADC 2006»
16 years 25 days ago
Discovering task-oriented usage pattern for web recommendation
Web transaction data usually convey user task-oriented behaviour pattern. Web usage mining technique is able to capture such informative knowledge about user task pattern from usa...
Guandong Xu, Yanchun Zhang, Xiaofang Zhou
RTAS
2005
IEEE
16 years 12 days ago
On Schedulability Bounds of Static Priority Schedulers
—Real-time systems need to use the schedulability test to determine whether or not admitted tasks can meet their deadlines. The utilization based schedulability test is the most ...
Jianjia Wu, Jyh-Charn Liu, Wei Zhao