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» Learning Gaussian processes from multiple tasks
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ICRA
2002
IEEE
84views Robotics» more  ICRA 2002»
15 years 4 months ago
Queueing Network Modeling and Lead Time Compression of Electronic Procurement
Abstract- Procurement, i.e., the process of obtaining materials or services and managing their inflow into organizations, is a critical process in supply chain management. Internet...
C. V. L. Raju, Y. Narahari
CHI
2009
ACM
16 years 14 days ago
A biologically inspired approach to learning multimodal commands and feedback for human-robot interaction
In this paper we describe a method to enable a robot to learn how a user gives commands and feedback to it by speech, prosody and touch. We propose a biologically inspired approac...
Anja Austermann, Seiji Yamada
NECO
2007
150views more  NECO 2007»
14 years 11 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 9 days ago
The "DGX" distribution for mining massive, skewed data
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...
Zhiqiang Bi, Christos Faloutsos, Flip Korn
CLEF
2006
Springer
15 years 3 months ago
Experimenting a "General Purpose" Textual Entailment Learner in AVE
In this paper we present the use of a "general purpose" textual entaiment recognizer in the Answer Validation Exercise (AVE) task. Our system has been developed to learn...
Fabio Massimo Zanzotto, Alessandro Moschitti