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ICML
2010
IEEE
13 years 9 months 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
14 years 3 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
13 years 10 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»
14 years 3 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
13 years 10 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