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ML
2000
ACM
185views Machine Learning» more  ML 2000»
15 years 5 months ago
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
Twenty-two decision tree, nine statistical, and two neural network algorithms are compared on thirty-two datasets in terms of classification accuracy, training time, and (in the ca...
Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih
JAIR
2002
134views more  JAIR 2002»
15 years 5 months ago
Specific-to-General Learning for Temporal Events with Application to Learning Event Definitions from Video
We develop, analyze, and evaluate a novel, supervised, specific-to-general learner for a simple temporal logic and use the resulting algorithm to learn visual event definitions fr...
Alan Fern, Robert Givan, Jeffrey Mark Siskind
NIPS
2004
15 years 7 months ago
Analysis of a greedy active learning strategy
act out the core search problem of active learning schemes, to better understand the extent to which adaptive labeling can improve sample complexity. We give various upper and low...
Sanjoy Dasgupta
ICALT
2003
IEEE
15 years 11 months ago
A Process Repository for the Development of E-Learning Applications
The production process of multimedia learning material includes many participants, tasks, and tools. The system described in this paper combines all data from the development and ...
Ronald Hartwig, Michael Herczeg
MM
2004
ACM
151views Multimedia» more  MM 2004»
15 years 11 months ago
Multimodal concept-dependent active learning for image retrieval
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...
Kingshy Goh, Edward Y. Chang, Wei-Cheng Lai