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» Dynamic Modeling in Inductive Inference
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AAAI
2010
13 years 9 months ago
Efficient Belief Propagation for Utility Maximization and Repeated Inference
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...
Aniruddh Nath, Pedro Domingos
BMVC
2000
13 years 9 months ago
Quantifying Ambiguities in Inferring Vector-Based 3D Models
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
Eng-Jon Ong, Shaogang Gong
TCS
2010
13 years 6 months ago
Incremental learning with temporary memory
In the inductive inference framework of learning in the limit, a variation of the bounded example memory (Bem) language learning model is considered. Intuitively, the new model co...
Sanjay Jain, Steffen Lange, Samuel E. Moelius, San...
AB
2008
Springer
14 years 2 months ago
Algorithms for Inference, Analysis and Control of Boolean Networks
Boolean networks (BNs) are known as a mathematical model of genetic networks. In this paper, we overview algorithmic aspects of inference, analysis and control of BNs while focusin...
Tatsuya Akutsu, Morihiro Hayashida, Takeyuki Tamur...
ICASSP
2011
IEEE
12 years 11 months ago
A unified approach to real time audio-to-score and audio-to-audio alignment using sequential Montecarlo inference techniques
We present a methodology for the real time alignment of music signals using sequential Montecarlo inference techniques. The alignment problem is formulated as the state tracking o...
Nicola Montecchio, Arshia Cont