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COLING
2010
14 years 12 months ago
Bringing Active Learning to Life
Active learning has been applied to different NLP tasks, with the aim of limiting the amount of time and cost for human annotation. Most studies on active learning have only simul...
Ines Rehbein, Josef Ruppenhofer, Alexis Palmer
147
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JKM
2006
135views more  JKM 2006»
15 years 4 months ago
Learning from the Mars Rover Mission: scientific discovery, learning and memory
Purpose Knowledge management for space exploration is part of a multi-generational effort. Each mission builds on knowledge from prior missions, and learning is the first step in ...
Charlotte Linde
KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 5 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
ATAL
2007
Springer
15 years 11 months ago
Multiagent reinforcement learning and self-organization in a network of agents
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
Sherief Abdallah, Victor R. Lesser
ICPR
2008
IEEE
16 years 6 months ago
Randomized trees for real-time one-step face detection and recognition
We present a system for detecting and recognizing faces in images in real-time which is able to learn new identities in instants. In mobile service robotics, interaction with pers...
Stefan Schiffer 0002, Thomas Deselaers, Vaishak Be...