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» Learning From Ambiguous Examples
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AICOM
2002
103views more  AICOM 2002»
15 years 2 months ago
The emergent computational potential of evolving artificial living systems
The computational potential of artificial living systems can be studied without knowing the algorithms that govern their behavior. Modeling single organisms by means of socalled c...
Jirí Wiedermann, Jan van Leeuwen
CORR
2000
Springer
84views Education» more  CORR 2000»
15 years 2 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
DIDACTICA
2000
110views more  DIDACTICA 2000»
15 years 2 months ago
Umsetzung von Grundkonzepten der Informatik zur fachlichen Orientierung im Informatikunterricht
Abstract During its development computer science has more and more established a way it sees itself. However, in recent years the rise of distributed systems and object orientation...
Ludger Humbert
137
Voted
IJCV
2000
136views more  IJCV 2000»
15 years 2 months ago
A Trainable System for Object Detection
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
Constantine Papageorgiou, Tomaso Poggio
IJPRAI
2002
93views more  IJPRAI 2002»
15 years 2 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov