Nonlinear dendritic processing appears to be a feature of biological neurons and would also be of use in many applications of artificial neural networks. This paper presents a mod...
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
To improve the quality of type error messages in functional programming languages, we propose four techniques which influence the behaviour of constraint-based type inference proc...
Bastiaan Heeren, Jurriaan Hage, S. Doaitse Swierst...
Process variation affects processor pipelines by making some stages slower and others faster, therefore exacerbating pipeline unbalance. This reduces the frequency attainable by t...
Abhishek Tiwari, Smruti R. Sarangi, Josep Torrella...
We describe analog and mixed-signal primitives for implementing adaptive signal-processing algorithms in VLSI based on anti-Hebbian learning. Both on-chip calibration techniques a...
Miguel Figueroa, Esteban Matamala, Gonzalo Carvaja...