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DSS
2002
97views more  DSS 2002»
15 years 4 months ago
A new paradigm for computer-based decision support
We identify and address a fundamental general problem which we regard as crucial for the widespread, effective use of decision support systems (DSS) in the future: how can we subs...
Meurig Beynon, Suwanna Rasmequan, Steve Russ
NN
2000
Springer
161views Neural Networks» more  NN 2000»
15 years 3 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys
ML
2002
ACM
107views Machine Learning» more  ML 2002»
15 years 3 months ago
Training Invariant Support Vector Machines
Practical experience has shown that in order to obtain the best possible performance, prior knowledge about invariances of a classification problem at hand ought to be incorporated...
Dennis DeCoste, Bernhard Schölkopf
145
Voted
MTA
2002
103views more  MTA 2002»
15 years 3 months ago
STEPS: Supporting Traditional Education Procedures-A TCP/IP Multimedia Networks-Based Model
This paper describes an integrated model for the realization of an Open and Distance Learning (ODL) environment supporting traditional learning procedures, through collaborative le...
Christos Bouras, Petros Lampsas, Paul G. Spirakis
MT
1998
76views more  MT 1998»
15 years 3 months ago
Line 'Em Up: Advances in Alignment Technology and their Impact on Translation Support Tools
We present a quantitative evaluation of one well-known word alignment algorithm, as well as an analysis of frequent errors in terms of this model's underlying assumptions. De...
Elliott Macklovitch, Marie-Louise Hannan