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GLVLSI
2005
IEEE
103views VLSI» more  GLVLSI 2005»
16 years 8 hour ago
Causal probabilistic input dependency learning for switching model in VLSI circuits
Switching model captures the data-driven uncertainty in logic circuits in a comprehensive probabilistic framework. Switching is a critical factor that influences dynamic, active ...
Nirmal Ramalingam, Sanjukta Bhanja
ISCAS
2002
IEEE
153views Hardware» more  ISCAS 2002»
15 years 11 months ago
Biological learning modeled in an adaptive floating-gate system
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...
Christal Gordon, Paul E. Hasler
CVPR
2005
IEEE
16 years 8 months ago
Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging
Functional Magnetic Resonance Imaging (fMRI) has enabled scientists to look into the active human brain. FMRI provides a sequence of 3D brain images with intensities representing ...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, No...
ITICSE
2005
ACM
15 years 12 months ago
Team formation methods for increasing interaction during in-class group work
In contrast to the student teams used for larger and longer group projects, in-class groups are often ephemeral, lasting for only a few minutes or until the end of the period. Bec...
Katherine Deibel
ICWL
2003
Springer
15 years 11 months ago
Building Reusable and Interactive E-learning Content Using Web
: This paper presents the design of a web-based learning content authoring tool as well as the way learners can access courseware material, within the scope of a personalized, yet ...
Christos Bouras, Maria Nani, Thrasyvoulos Tsiatsos