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ACL
1994
13 years 12 months ago
A Markov Language Learning Model for Finite Parameter Spaces
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
Partha Niyogi, Robert C. Berwick
IMC
2010
ACM
13 years 8 months ago
On the characteristics and reasons of long-lived internet flows
Prior studies of Internet traffic have considered traffic at different resolutions and time scales: packets and flows for hours or days, aggregate packet statistics for days or we...
Lin Quan, John Heidemann
FAST
2009
13 years 8 months ago
Provenance as Data Mining: Combining File System Metadata with Content Analysis
Provenance describes how an object came to be in its present state. Thus, it describes the evolution of the object over time. Prior work on provenance has focussed on databases an...
Vinay Deolalikar, Hernan Laffitte
WWW
2008
ACM
14 years 11 months ago
Setting Access Permission through Transitive Relationship in Web-based Social Networks
The rising popularity of Web 2.0, such as blogs, forums, online calendars/diaries, etc., makes users more interested in keeping their data on the Web. Sharing of such data could m...
Dan Hong, Vincent Y. Shen
CHI
2001
ACM
14 years 11 months ago
Responding to subtle, fleeting changes in the user's internal state
In human-to-human interaction, people sometimes are able to pick up and respond sensitively to the other's internal state as it shifts moment by moment over the course of an ...
Wataru Tsukahara, Nigel Ward