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IIE
2007
130views more  IIE 2007»
15 years 4 months ago
An Iterative Methodology for Teaching Object Oriented Concepts
Abstract thinking is a vital skill when learning computer science. Object technology and the concepts it is based upon make this skill even more crucial. However, previous research...
Irit Hadar, Ethan Hadar
AI
2002
Springer
15 years 4 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro
TNN
1998
146views more  TNN 1998»
15 years 4 months ago
An analytical framework for local feedforward networks
Interference in neural networks occurs when learning in one area of the input space causes unlearning in another area. Networks that are less susceptible to interference are refer...
S. Weaver, L. Baird, Marios M. Polycarpou
MVA
2010
181views Computer Vision» more  MVA 2010»
15 years 2 months ago
Human action detection via boosted local motion histograms
This paper presents a novel learning method for human action detection in video sequences. The detecting problem is not limited in controlled settings like stationary background or...
Qingshan Luo, Xiaodong Kong, Guihua Zeng, Jianping...
EMNLP
2010
15 years 2 months ago
Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks
Named-entity recognition (NER) is an important task required in a wide variety of applications. While rule-based systems are appealing due to their well-known "explainability...
Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao ...