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NIPS
2003
15 years 2 months ago
Extreme Components Analysis
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
Max Welling, Felix V. Agakov, Christopher K. I. Wi...
97
Voted
AAAI
1998
15 years 2 months ago
Metacognition in Software Agents Using Classifier Systems
Software agents "living" and acting in a real world software environment, such as an operating system, a network, or a database system, can carry out many tasks for huma...
Zhaohua Zhang, Stan Franklin, Dipankar Dasgupta
101
Voted
ANLP
2000
109views more  ANLP 2000»
15 years 2 months ago
Predicting Automatic Speech Recognition Performance Using Prosodic Cues
In spoken dialogue systems, it is important for a system to know how likely a speech recognition hypothesis is to be correct, so it can reprompt for fresh input, or, in cases wher...
Diane J. Litman, Julia Hirschberg, Marc Swerts
108
Voted
UAI
2003
15 years 2 months ago
Exploiting Locality in Searching the Web
Published experiments on spidering the Web suggest that, given training data in the form of a (relatively small) subgraph of the Web containing a subset of a selected class of tar...
Joel Young, Thomas Dean
91
Voted
GRAPHICSINTERFACE
2000
15 years 2 months ago
Animating Athletic Motion Planning By Example
Character animation is usually reserved for highly skilled animators and computer programmers because few of the available tools allow the novice or casual user to create compelli...
Ronald A. Metoyer, Jessica K. Hodgins