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ICA
2010
Springer
15 years 7 months ago
SMALLbox - An Evaluation Framework for Sparse Representations and Dictionary Learning Algorithms
SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for explorati...
Ivan Damnjanovic, Matthew E. P. Davies, Mark D. Pl...
AC
1998
Springer
15 years 6 months ago
Cellular Automata Models of Self-Replicating Systems
Abstract: Since von Neumann's seminal work around 1950, computer scientists and others have studied the algorithms needed to support self-replicating systems. Much of this wor...
James A. Reggia, Hui-Hsien Chou, Jason D. Lohn
BMCBI
2005
114views more  BMCBI 2005»
15 years 6 months ago
A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
Piero Fariselli, Pier Luigi Martelli, Rita Casadio
AAAI
1994
15 years 8 months ago
Parsing Embedded Clauses with Distributed Neural Networks
A distributed neural network model called SPEC for processing sentences with recursive relative clauses is described. The model is based on separating the tasks of segmenting the ...
Risto Miikkulainen, Dennis Bijwaard
VL
1993
IEEE
159views Visual Languages» more  VL 1993»
15 years 11 months ago
A Visual Logic Programming Language Based on Sets and Partitioning Constraints
This paper presents a new programming language named SPARCL that has four major elements: it is a visual language, it is a logic programming language, it relies on sets to organiz...
Lindsey L. Spratt, Allen L. Ambler