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GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
16 years 19 days ago
Evolving explicit opponent models in game playing
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
Alan J. Lockett, Charles L. Chen, Risto Miikkulain...
ICCBR
2007
Springer
16 years 19 days ago
Failure Analysis for Domain Knowledge Acquisition in a Knowledge-Intensive CBR System
A knowledge-intensive case-based reasoning system has profit of the domain knowledge, together with the case base. Therefore, acquiring new pieces of domain knowledge should impro...
Amélie Cordier, Béatrice Fuchs, Jean...
SGAI
2007
Springer
16 years 18 days ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
XPU
2007
Springer
16 years 18 days ago
Inspecting Automated Test Code: A Preliminary Study
Testing is an essential part of an agile process as test is automated and tends to take the role of specifications in place of documents. However, whenever test cases are faulty, d...
Filippo Lanubile, Teresa Mallardo
3DPVT
2006
IEEE
145views Visualization» more  3DPVT 2006»
16 years 17 days ago
The Recursive Multi-Frame Planar Parallax Algorithm
This paper presents a method for obtaining accurate dense elevation and appearance models of terrain using a single camera on-board an aerial platform. Applications of this method...
Christopher Geyer, Todd Templeton, Marci Meingast,...