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EMMCVPR
2005
Springer
14 years 2 months ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Sanjiv Kumar, Jonas August, Martial Hebert
ISMIS
2005
Springer
14 years 2 months ago
A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
JSAI
2005
Springer
14 years 2 months ago
Learning Stochastic Logical Automaton
Abstract. This paper is concerned with algorithms for the logical generalisation of probabilistic temporal models from examples. The algorithms combine logic and probabilistic mode...
Hiroaki Watanabe, Stephen Muggleton
IBERAMIA
2004
Springer
14 years 2 months ago
Mobile Robotic Supported Collaborative Learning (MRSCL)
In this paper we describe MRSCL Geometry a collaborative educational activity that explores the use of robotic technology and wirelessly connected Pocket PCs as tools for teaching ...
Rubén Mitnik, Miguel Nussbaum, Alvaro Soto
AMKM
2003
Springer
14 years 2 months ago
Discovering, Visualizing, and Sharing Knowledge through Personalized Learning Knowledge Maps
This paper presents an agent-based approach to semantic exploration and knowledge discovery in large information spaces by means of capturing, visualizing and making usable implic...
Jasminko Novak, Michael Wurst, Monika Fleischmann,...