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» Data Modelling in Complex Application Domains
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ICML
1996
IEEE
16 years 4 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
172
Voted
RSP
2005
IEEE
207views Control Systems» more  RSP 2005»
15 years 9 months ago
Design Exploration and HW/SW Rapid Prototyping for Real-Time System Design
Embedded signal processing systems are usually associated with real-time constraints and/or high data rates so that fully software implementation are often not satisfactory. In th...
Sylvain Huet, Emmanuel Casseau, Olivier Pasquier
126
Voted
GROUP
2005
ACM
15 years 9 months ago
An optimization approach to group coupling in heterogeneous collaborative systems
Recent proliferation of computing devices has brought attention to heterogeneous collaborative systems, where key challenges arise from the resource limitations and disparities. S...
Carlos D. Correa, Ivan Marsic
150
Voted
SIGSOFT
2003
ACM
15 years 9 months ago
Refinements and multi-dimensional separation of concerns
1 Step-wise refinement (SWR) asserts that complex programs can be derived from simple programs by progressively adding features. The length of a program specification is the number...
Don S. Batory, Jia Liu, Jacob Neal Sarvela
165
Voted
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
16 years 4 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos