Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
The distribution of the lengths of genomic segments inverte during the evolutionary divergence of two species cannot be inferred d rectly from the output of genome rearrangement al...
Adrian Maler, David Sankoff, Elisabeth R. M. Tilli...
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
We propose two practical approaches for on-chip inductance extraction to obtain a highly sparsified and accurate inverse inductance matrix K. Both approaches differ from previous ...
Increasing applications are demanding effective and efficient support to perform retrieval in large collections of digital images. The work presented here is an early stage resear...
Giovanna Castellano, Gianluca Sforza, Maria Alessa...