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AAAI
2010
15 years 4 months ago
Fast Algorithms for Top-k Approximate String Matching
Top-k approximate querying on string collections is an important data analysis tool for many applications, and it has been exhaustively studied. However, the scale of the problem ...
Zhenglu Yang, Jianjun Yu, Masaru Kitsuregawa
148
Voted
FLAIRS
2004
15 years 4 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
116
Voted
AI
2002
Springer
15 years 2 months ago
QUANTUM: A Function-Based Question Answering System
Abstract In this paper, we describe our Question Answering (QA) system called QUANTUM. The goal of QUANTUM is to find the answer to a natural language question in a large document ...
Luc Plamondon, Leila Kosseim
AI
2004
Springer
15 years 2 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu
112
Voted
ATAL
2004
Springer
15 years 8 months ago
From Global Selective Perception to Local Selective Perception
This paper presents a reinforcement learning algorithm used to allocate tasks to agents in an uncertain real-time environment. In such environment, tasks have to be analyzed and a...
Sébastien Paquet, Nicolas Bernier, Brahim C...