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NIPS
2007
14 years 11 months ago
Variational Inference for Diffusion Processes
Diffusion processes are a family of continuous-time continuous-state stochastic processes that are in general only partially observed. The joint estimation of the forcing paramete...
Cédric Archambeau, Manfred Opper, Yuan Shen...
HICSS
2010
IEEE
154views Biometrics» more  HICSS 2010»
15 years 5 months ago
The Effects of Perceived Visual Aesthetics on Process Satisfaction in GSS Use
Although group support systems (GSS) can potentially have tremendous impacts in helping to solve the challenges faced by organizations and societies today, research to date has pr...
Alex Ivanov, Christoph Schneider
86
Voted
ICTAI
1994
IEEE
15 years 2 months ago
Tooling the Lexicon Acquisition Process for Large-Scale KBMT
Large-scale lexical knowledge acquisition is one of the most time critical steps in developing a knowledge-based machine translation system. In particular, developing the syntacti...
John R. R. Leavitt, Deryle W. Lonsdale, Kevin Keck...
100
Voted
TAGT
1998
Springer
156views Graph Theory» more  TAGT 1998»
15 years 2 months ago
Graph-Based Models for Managing Development Processes, Resources, and Products
Abstract. Management of development processes in di erent engineering disciplines is a challenging task. We present an integrated approach which covers not only the activities to b...
Carl-Arndt Krapp, Sven Krüppel, Ansgar Schlei...
ICML
2007
IEEE
15 years 11 months ago
Robust multi-task learning with t-processes
Most current multi-task learning frameworks ignore the robustness issue, which means that the presence of "outlier" tasks may greatly reduce overall system performance. ...
Shipeng Yu, Volker Tresp, Kai Yu