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» Abstraction in Predictive State Representations
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OOPSLA
2009
Springer
15 years 4 months ago
Typestate-oriented programming
Objects model the world, and state is fundamental to a faithful modeling. Engineers use state machines to understand and reason about state transitions, but programming languages ...
Jonathan Aldrich, Joshua Sunshine, Darpan Saini, Z...
TWC
2008
103views more  TWC 2008»
14 years 9 months ago
Exact BER analysis for M-QAM modulation with transmit beamforming under channel prediction errors
Abstract--Significant throughput improvements can be obtained in multiple-input multiple-output (MIMO) fading channels by merging beamforming at the transmitter and maximal ratio c...
Eduardo Martos-Naya, José F. Paris, Unai Fe...
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 4 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
ICCS
2001
Springer
15 years 2 months ago
On the Predictability of Rainfall in Kerala An Application of ABF Neural Network
Abstract. Rainfall in Kerala State, the southern part of Indian Peninsula in particular is caused by the two monsoons and the two cyclones every year. In general, climate and rainf...
Ninan Sajeeth Philip, K. Babu Joseph
DIS
2004
Springer
15 years 3 months ago
Predictive Graph Mining
Abstract. Graph mining approaches are extremely popular and effective in molecular databases. The vast majority of these approaches first derive interesting, i.e. frequent, patte...
Andreas Karwath, Luc De Raedt