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» Combining Learned Discrete and Continuous Action Models
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KDD
2006
ACM
177views Data Mining» more  KDD 2006»
16 years 4 months ago
Topics over time: a non-Markov continuous-time model of topical trends
This paper presents an LDA-style topic model that captures not only the low-dimensional structure of data, but also how the structure changes over time. Unlike other recent work t...
Xuerui Wang, Andrew McCallum
155
Voted
TASE
2008
IEEE
15 years 4 months ago
Integrated Supervisory and Operational Control of a Warehouse With a Matrix-Based Approach
This paper considers a matrix-based discrete event control approach for a warehouse. The control system is organized in two modules: a dynamic model and a controller. The model pro...
Vincenzo Giordano, Jing Bing Zhang, David Naso, Fr...
ENTCS
2010
133views more  ENTCS 2010»
15 years 4 months ago
Towards Measurable Types for Dynamical Process Modeling Languages
Process modeling languages such as "Dynamical Grammars" are highly expressive in the processes they model using stochastic and deterministic dynamical systems, and can b...
Eric Mjolsness
129
Voted
CORR
2004
Springer
142views Education» more  CORR 2004»
15 years 4 months ago
Modeling and Validating Hybrid Systems Using VDM and Mathematica
Hybrid systems are characterized by the hybrid evolution of their state: A part of the state changes discretely, the other part changes continuously over time. Typically, modern c...
Bernhard K. Aichernig, Reinhold Kainhofer
JAIR
2011
144views more  JAIR 2011»
14 years 11 months ago
Non-Deterministic Policies in Markovian Decision Processes
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
Mahdi Milani Fard, Joelle Pineau