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ICML
2010
IEEE
15 years 27 days ago
Gaussian Processes Multiple Instance Learning
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
Minyoung Kim, Fernando De la Torre
SEMCO
2007
IEEE
15 years 6 months ago
Thematic Role Based Generation of UML Models from Real World Requirements
Model-driven development depends on good initial models. Creating these models by hand is a challenging task, because of complex specification documents and change requests. We p...
Tom Gelhausen, Walter F. Tichy
EACL
2006
ACL Anthology
15 years 1 months ago
Generating Statistical Language Models from Interpretation Grammars in Dialogue Systems
In this paper, we explore statistical language modelling for a speech-enabled MP3 player application by generating a corpus from the interpretation grammar written for the applica...
Rebecca Jonson
HICSS
2007
IEEE
212views Biometrics» more  HICSS 2007»
15 years 6 months ago
Fully-automatic generation of user interfaces for multiple devices from a high-level model based on communicative acts
The problems involved in the development of user interfaces become even more severe through the ubiquitous use of a variety of devices such as PCs, mobile phones and PDAs. Each of...
Jürgen Falb, Roman Popp, Thomas Röck, He...
IICAI
2007
15 years 1 months ago
Automated Test Generation from Models Based on Functional Software Specifications
The paper presents first results of a project that aims at building a model-based tool for functional testing of control software for passenger vehicles. The objective is that this...
Michael Esser, Peter Struss