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KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 9 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
IUI
2006
ACM
14 years 2 months ago
SWISH: semantic analysis of window titles and switching history
Information workers are often involved in multiple tasks and activities that they must perform in parallel or in rapid succession. In consequence, task management itself becomes y...
Nuria Oliver, Greg Smith, Chintan Thakkar, Arun C....
ICLP
2011
Springer
13 years 3 days ago
Transaction Logic with Defaults and Argumentation Theories
Transaction Logic is an extension of classical logic that gracefully integrates both declarative and procedural knowledge and has proved itself as a powerful formalism for many ad...
Paul Fodor, Michael Kifer
ISCC
2006
IEEE
188views Communications» more  ISCC 2006»
14 years 2 months ago
Active Learning Driven Data Acquisition for Sensor Networks
Online monitoring of a physical phenomenon over a geographical area is a popular application of sensor networks. Networks representative of this class of applications are typicall...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...
KI
2001
Springer
14 years 1 months ago
Extracting Situation Facts from Activation Value Histories in Behavior-Based Robots
The paper presents a new technique for extracting symbolic ground facts out of the sensor data stream in autonomous robots for use under hybrid control architectures, which compris...
Frank Schönherr, Mihaela Cistelecan, Joachim ...