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ECML
2007
Springer
16 years 20 days ago
Discriminative Sequence Labeling by Z-Score Optimization
Abstract. We consider a new discriminative learning approach to sequence labeling based on the statistical concept of the Z-score. Given a training set of pairs of hidden-observed ...
Elisa Ricci, Tijl De Bie, Nello Cristianini
KI
2007
Springer
16 years 19 days ago
Training on the Job - Collecting Experience with Hierarchical Hybrid Automata
We propose a novel approach to experience collection for autonomous service robots performing complex activities. This approach enables robots to data for many learning problems at...
Alexandra Kirsch, Michael Beetz
ICALT
2005
IEEE
16 years 3 days ago
A System Designed to Support Formative Assessment of Open-Ended Written Assignments
This paper introduces the MarkTool System – a software system designed to support formative assessment of open-ended written assignments. The MarkTool System brings together ser...
Jun Zhang, Eva Heinrich
EUC
2005
Springer
16 years 20 hour ago
Middleware Architecture for Context Knowledge Discovery in Ubiquitous Computing
Advanced analysis of data for extracting useful knowledge is the next natural step in the world of ubiquitous computing. So far, most of the ubiquitous systems process knowledge in...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 16 hour ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett