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NIPS
1994
15 years 5 months ago
Reinforcement Learning with Soft State Aggregation
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
SPLC
2007
15 years 5 months ago
A Quality Model for Evaluating Feature Models
This paper presents work in progress to construct a model for guiding and evaluating the quality of featureoriented models, called FMQ. Product line concepts are becoming increasi...
Christer Thörn
SWWS
2007
15 years 5 months ago
Modeling an Ontology for Managing Contexts in Smart Meeting Space
- In recent years, computing becomes more mobile and pervasive; these changes imply that applications and services must be aware of and adapt to their changing contexts in highly d...
Mohammad Rezwanul Huq, Nguyen Thi Thanh Tuyen, You...
3DPH
2009
190views Healthcare» more  3DPH 2009»
15 years 5 months ago
Vessels-Cut: A Graph Based Approach to Patient-Specific Carotid Arteries Modeling
We present a nearly automatic graph-based segmentation method for patient specific modeling of the aortic arch and carotid arteries from CTA scans for interventional radiology simu...
Moti Freiman, Noah Broide, Miriam Natanzon, Einav ...
BILDMED
2009
125views Algorithms» more  BILDMED 2009»
15 years 5 months ago
Contrast Enhancement with Dual Energy CT for the Assessment of Atherosclerosis
A drawback of the commonly used single source computed tomography systems (CT) is that different materials might show very similar attenuation at any selected radiation energy. How...
Stefan C. Saur, Hatem Alkadhi, Luca Regazzoni, Sim...