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» Learning By Observation Using Qualitative Spatial Relations
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NIPS
2004
13 years 9 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
BC
2006
124views more  BC 2006»
13 years 7 months ago
Motor-maps, navigation and implicit space representation in the hippocampus
Abstract Multiple sensory-motor maps located in the brainstem and the cortex are involved in spatial orientation. Guiding movements of eyes, head, neck and arms they provide an app...
Alexander Kaske, Gösta Winberg, Joakim Cö...
GI
2004
Springer
14 years 1 months ago
Quality Criteria for Competency Assignments: Examples from a Project Management Case Study
: We present several quality criteria for skills management initiatives based on the competence-performance approach [Kor97]. The criteria help to measure reliability and validity ...
Tobias Ley, Dietrich Albert
BMCBI
2010
118views more  BMCBI 2010»
13 years 7 months ago
Computing H/D-Exchange rates of single residues from data of proteolytic fragments
Background: Protein conformation and protein/protein interaction can be elucidated by solution-phase Hydrogen/ Deuterium exchange (sHDX) coupled to high-resolution mass analysis o...
Ernst Althaus, Stefan Canzar, Carsten Ehrler, Mark...
EDOC
2009
IEEE
13 years 11 months ago
Monitoring and Analyzing Influential Factors of Business Process Performance
Abstract--Business activity monitoring enables continuous observation of key performance indicators (KPIs). However, if things go wrong, a deeper analysis of process performance be...
Branimir Wetzstein, Philipp Leitner, Florian Rosen...