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» Diagnosis of Simple Temporal Networks
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ASUNAM
2011
IEEE
13 years 9 months ago
Evolutionary Clustering and Analysis of Bibliographic Networks
—In this paper, we study the problem of evolutionary clustering of multi-typed objects in a heterogeneous bibliographic network. The traditional methods of homogeneous clustering...
Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizho...
NN
1998
Springer
108views Neural Networks» more  NN 1998»
14 years 9 months ago
How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies
Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
Tsungnan Lin, Bill G. Horne, C. Lee Giles
AIPS
2000
14 years 11 months ago
Merging Plans with Quantitative Temporal Constraints, Temporally Extended Actions, and Conditional Branches
We develop an algorithm for merging plans that are represented in a richly expressive language. Speci cally, weare concerned with plans that have i quantitative temporal constrain...
Ioannis Tsamardinos, Martha E. Pollack, John F. Ho...
AIME
2001
Springer
15 years 2 months ago
NasoNet, Joining Bayesian Networks and Time to Model Nasopharyngeal Cancer Spread
Abstract. Cancer spread is a non-deterministic dynamic process. As a consequence, the design of an assistant system for the diagnosis and prognosis of the extent of a cancer should...
Severino F. Galán, Francisco Aguado, Franci...
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
15 years 3 months ago
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...