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NIPS
2004
15 years 1 months ago
Support Vector Classification with Input Data Uncertainty
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
Jinbo Bi, Tong Zhang
TARK
2007
Springer
15 years 6 months ago
Explaining quantity implicatures
We give derivations of two formal models of Gricean Quantity1 implicature and strong exhaustivity (Van Rooij and Schulz, 2004; Schulz and Van Rooij, 2006), in bidirectional optima...
Tikitu de Jager, Robert van Rooij
DAC
2002
ACM
16 years 23 days ago
A factorization-based framework for passivity-preserving model reduction of RLC systems
We present a framework for passivity-preserving model reduction for RLC systems that includes, as a special case, the well-known PRIMA model reduction algorithm. This framework pr...
Q. Su, Venkataramanan Balakrishnan, Cheng-Kok Koh
EDOC
2008
IEEE
15 years 6 months ago
Augmenting the Zachman Enterprise Architecture Framework with a Systemic Conceptualization
The Zachman Framework offers a classification of the models created in an enterprise architecture project. These models form a holistic representation of the organization. Despite...
Alain Wegmann, Anders Kotsalainen, Lionel Matthey,...
SCA
2007
15 years 2 months ago
A decision network framework for the behavioral animation of virtual humans
We introduce a framework for advanced behavioral animation in virtual humans, which addresses the challenging open problem of simulating social interactions between pedestrians in...
Qinxin Yu, Demetri Terzopoulos