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DIAGRAMS
2004
Springer
16 years 7 days ago
Decision Diagrams in Machine Learning: An Empirical Study on Real-Life Credit-Risk Data
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
HICSS
2003
IEEE
202views Biometrics» more  HICSS 2003»
16 years 4 days ago
Automated Coaching of Collaboration Based on Workspace Analysis: Evaluation and Implications for Future Learning Environments
This paper describes the design and evaluation of COLER, a computer mediated learning environment that includes a software coach to help students collaborate while solving Entity ...
María de los Angeles Constantino-Gonz&aacut...
ICANN
2009
Springer
15 years 11 months ago
Switching Hidden Markov Models for Learning of Motion Patterns in Videos
Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classification of motion patterns in vid...
Matthias Höffken, Daniel Oberhoff, Marina Kol...
MCS
2001
Springer
15 years 11 months ago
Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis
One of the main factors affecting the effectiveness of ECOC methods for classification is the dependence among the errors of the computed codeword bits. We present an extensive ...
Francesco Masulli, Giorgio Valentini
AUSAI
2008
Springer
15 years 8 months ago
Learning a Generative Model for Structural Representations
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
Andrea Torsello, David L. Dowe