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IROS
2008
IEEE
113views Robotics» more  IROS 2008»
15 years 6 months ago
Motion recognition and generation by combining reference-point-dependent probabilistic models
— This paper presents a method to recognize and generate sequential motions for object manipulation such as placing one object on another or rotating it. Motions are learned usin...
Komei Sugiura, Naoto Iwahashi
COLING
2008
15 years 1 months ago
A Fully-Lexicalized Probabilistic Model for Japanese Zero Anaphora Resolution
This paper presents a probabilistic model for Japanese zero anaphora resolution. First, this model recognizes discourse entities and links all mentions to them. Zero pronouns are ...
Ryohei Sasano, Daisuke Kawahara, Sadao Kurohashi
ACL
2006
15 years 1 months ago
Integrating Syntactic Priming into an Incremental Probabilistic Parser, with an Application to Psycholinguistic Modeling
The psycholinguistic literature provides evidence for syntactic priming, i.e., the tendency to repeat structures. This paper describes a method for incorporating priming into an i...
Amit Dubey, Frank Keller, Patrick Sturt
MASCOTS
2004
15 years 1 months ago
Dual-Processor Parallelisation of Symbolic Probabilistic Model Checking
In this paper, we describe the dual-processor parallelisation of a symbolic (BDD-based) implementation of probabilistic model checking. We use multi-terminal BDDs, which allow a c...
Marta Z. Kwiatkowska, David Parker, Yi Zhang, Rash...
TSMC
2008
89views more  TSMC 2008»
14 years 11 months ago
A Probabilistic Wavelet System for Stochastic and Incomplete Data-Based Modeling
A probabilistic wavelet system (PWS) is proposed to model the unknown dynamic system with stochastic and incomplete data. When compared with the traditional wavelet system, the PWS...
Zhi Liu, Han-Xiong Li, Yun Zhang