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...
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Data Structure Abstractions for Asynchronous Web Applications Daniel S. Myers MIT CSAIL Jennifer N. Carlisle MIT CSAIL James A. Cowling MIT CSAIL Barbara H. Liskov MIT CSAIL The c...
Daniel S. Myers, Jennifer N. Carlisle, James A. Co...
We improve the promising Colour by Correlation method for computational colour constancy by modifying it to work in a three dimensional colour space. The previous version of the al...
This paper presents an integrated framework for assessment and ranking of manufacturing systems based on management and organizational performance indicators. The integrated appro...
Ali Azadeh, S. F. Ghaderi, Y. Partovi Miran, V. Eb...