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NIPS
1997
15 years 8 months ago
A Framework for Multiple-Instance Learning
Multiple-instance learning is a variation on supervised learning, where the task is to learn a concept given positive and negative bags of instances. Each bag may contain many ins...
Oded Maron, Tomás Lozano-Pérez
ACMACE
2010
ACM
15 years 1 months ago
The "Alberto's Gravimente Toys": children's fiction on technological design
This paper presents the design process of a learning game puzzle based on environmental sustainability themes for children (primary school). To control the game, children use Albe...
Marta Ferraz, Teresa Romão, António ...
IADIS
2004
15 years 8 months ago
Robo-Elc: A Robotic Adaptive Learning Appliance
This article describes a robotic adaptive learning appliance called Robo-eLC. The appliance is the result of a multidisciplinary approach which combines e-Learning and e-Commerce ...
Gaetano La Russa, Esko Marjomaa
IJCNN
2006
IEEE
16 years 27 days ago
Alleviating Catastrophic Forgetting via Multi-Objective Learning
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...
Yaochu Jin, Bernhard Sendhoff
AIIDE
2008
15 years 9 months ago
Combining Model-Based Meta-Reasoning and Reinforcement Learning for Adapting Game-Playing Agents
Human experience with interactive games will be enhanced if the software agents that play the game learn from their failures. Techniques such as reinforcement learning provide one...
Patrick Ulam, Joshua Jones, Ashok K. Goel