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AI
2002
Springer
14 years 9 months ago
A Constructive Approach to Parsing with Neural Networks - The Hybrid Connectionist Parsing Method
The concept of Dynamic Neural Networks (DNN) is a new approach within the Neural Network paradigm, which is based on the dynamic construction of Neural Networks during the processi...
Christel Kemke
SECON
2008
IEEE
15 years 4 months ago
Scheduling and Dynamic Relocation for IEEE 802.11s Mesh Deterministic Access
—Deployment of Wireless Mesh Networks (WMNs) is becoming increasingly popular due to the low-impact and lowcost features of wireless devices. This is especially true for WMNs bas...
Claudio Cicconetti, Luciano Lenzini, Enzo Mingozzi
BMCBI
2010
152views more  BMCBI 2010»
14 years 10 months ago
Comparative study of discretization methods of microarray data for inferring transcriptional regulatory networks
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
Yong Li, Lili Liu, Xi Bai, Hua Cai, Wei Ji, Dianji...
PPSN
1990
Springer
15 years 2 months ago
Feature Construction for Back-Propagation
T h e ease of learning concepts f r o m examples in empirical machine learning depends on the attributes used for describing the training d a t a . We show t h a t decision-tree b...
Selwyn Piramuthu
AAAI
2008
15 years 8 days ago
Hybrid Markov Logic Networks
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
Jue Wang, Pedro Domingos