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AI
2004
Springer
15 years 6 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
150
Voted
AI
2002
Springer
15 years 6 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
KI
2007
Springer
15 years 6 months ago
Improving the Detection of Unknown Computer Worms Activity Using Active Learning
Detecting unknown worms is a challenging task. Extant solutions, such as anti-virus tools, rely mainly on prior explicit knowledge of specific worm signatures. As a result, after t...
Robert Moskovitch, Nir Nissim, Dima Stopel, Clint ...
AI
1998
Springer
15 years 5 months ago
What Robots Can Do: Robot Programs and Effective Achievability
In this paper, we propose a definition of goal achievability: given a basic action theory describing an initial state of the world and some primitive actions available to a robot...
Fangzhen Lin, Hector J. Levesque
KI
2002
Springer
15 years 5 months ago
Representation of Behavioral Knowledge for Planning and Plan-Recognition in a Cognitive Vision System
The algorithmic generation of textual descriptions of image sequences requires conceptual knowledge. In our case, a stationary camera recorded image sequences of road traffic scene...
Michael Arens, Hans-Hellmut Nagel