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MLG
2007
Springer
16 years 19 days ago
Abductive Stochastic Logic Programs for Metabolic Network Inhibition Learning
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, Jose Santos
IFL
2004
Springer
131views Formal Methods» more  IFL 2004»
15 years 12 months ago
Exploiting Single-Assignment Properties to Optimize Message-Passing Programs by Code Transformations
The message-passing paradigm is now widely accepted and used mainly for inter-process communication in distributed memory parallel systems. However, one of its disadvantages is the...
Alfredo Cristóbal-Salas, Andrey Chernykh, E...
ISER
2004
Springer
142views Robotics» more  ISER 2004»
15 years 12 months ago
Interactive Multi-Modal Robot Programming
As robots enter the human environment and come in contact with inexperienced users, they need to be able to interact with users in a multi-modal fashion—keyboard and mouse are n...
Soshi Iba, Christiaan J. J. Paredis, Pradeep K. Kh...
ECML
2004
Springer
15 years 10 months ago
Efficient Hyperkernel Learning Using Second-Order Cone Programming
The kernel function plays a central role in kernel methods. Most existing methods can only adapt the kernel parameters or the kernel matrix based on empirical data. Recently, Ong e...
Ivor W. Tsang, James T. Kwok
PERCOM
2007
ACM
16 years 6 months ago
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...
Marco Mamei, Radhika Nagpal