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ICCBR
2010
Springer
14 years 2 months ago
Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
AAAI
1997
14 years 9 days ago
The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis
We address the problem of visually detecting causal events and tting them together into a coherent story of the action witnessed by the camera. We show that this can be done by re...
Matthew Brand
ICRA
2007
IEEE
162views Robotics» more  ICRA 2007»
14 years 5 months ago
Learning and Evaluation of the Approach Vector for Automatic Grasp Generation and Planning
— In this paper, we address the problem of automatic grasp generation for robotic hands where experience and shape primitives are used in synergy so to provide a basis not only f...
Staffan Ekvall, Danica Kragic
ICML
2007
IEEE
14 years 11 months ago
Learning distance function by coding similarity
We consider the problem of learning a similarity function from a set of positive equivalence constraints, i.e. 'similar' point pairs. We define the similarity in informa...
Aharon Bar-Hillel, Daphna Weinshall
EDM
2008
141views Data Mining» more  EDM 2008»
14 years 12 days ago
An Open Repository and analysis tools for fine-grained, longitudinal learner data
We introduce an open data repository and set of associated visualization and analysis tools. The Pittsburgh Science of Learning Center's "DataShop" has data from tho...
Kenneth R. Koedinger, Kyle Cunningham, Alida Skogs...