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ECML
2007
Springer
16 years 20 days ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
ICWE
2007
Springer
16 years 20 days ago
Model-Driven Development of Web Applications with UWA, MVC and JavaServer Faces
This paper presents a model-driven approach to the development of web applications based on the Ubiquitous Web Application (UWA) design framework, the Model-View-Controller (MVC) a...
Damiano Distante, Paola Pedone, Gustavo Rossi, Ger...
NIPS
2004
15 years 7 months ago
A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities
We devise and experiment with a dynamical kernel-based system for tracking hand movements from neural activity. The state of the system corresponds to the hand location, velocity,...
Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaa...
FDL
2008
IEEE
16 years 29 days ago
Symbolic Quasi-Static Scheduling of Actor-Oriented SystemC Models
—In this paper, we propose a quasi-static scheduling (QSS) method applicable to actor-oriented SystemC designs. QSS determines a schedule where several static schedules are combi...
Jens Gladigau, Christian Haubelt, Jürgen Teic...
CEC
2005
IEEE
16 years 4 days ago
A hybrid model of evolutionary algorithms and branch-and-bound for combinatorial optimization problems
Abstract- Branch-and-Bound and evolutionary algorithms represent two very different approaches for tackling combinatorial optimization problems. These approaches are not incompatib...
José E. Gallardo, Carlos Cotta, Antonio J. ...