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» Human dialogue modelling using machine learning
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ICCS
2007
Springer
15 years 10 months ago
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...
VEE
2012
ACM
322views Virtualization» more  VEE 2012»
13 years 11 months ago
Modeling virtualized applications using machine learning techniques
With the growing adoption of virtualized datacenters and cloud hosting services, the allocation and sizing of resources such as CPU, memory, and I/O bandwidth for virtual machines...
Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zh...
BMCBI
2008
136views more  BMCBI 2008»
15 years 4 months ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
156
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IBERAMIA
2010
Springer
15 years 2 months ago
Robotic Orientation towards Speaker for Human-Robot Interaction
Abstract. The orientation of conversational robots to face their interlocutors is essential for natural and efficient Human-Robot Interaction (HRI). In this paper, progress towards...
Caleb Rascón, Héctor H. Avilé...
ATAL
2008
Springer
15 years 6 months ago
Politeness and alignment in dialogues with a virtual guide
Language alignment is something that happens automatically in dialogues between human speakers. The ability to align is expected to increase the believability of virtual dialogue ...
Markus de Jong, Mariët Theune, Dennis Hofs