[PDF] Top 20 Probabilistic inference for dynamical systems
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Probabilistic inference for dynamical systems
... physical systems (such as the weather), and also social and economic systems (such as the stock ...These systems are usually subject to high levels of uncertainty, either in their initial conditions ... See full document
12
Dynamical inference of hidden biological populations
... uous systems and introduce for this case the correct likelihood function of observations, taking into account the Jacobian of transformation from stochastic to dynamical ...entire dynamical ... See full document
13
MDSINE: Microbial Dynamical Systems INference Engine for microbiome time series analyses
... In order to predict which bacterial compositions optimally confer resistance against C. difficile infection, we began by calculating which of the 2 13 − 1 possible bacterial combi- nations were predicted to have ... See full document
17
Probabilistic Inference for Machine Translation
... We evaluate our model on the IWSLT 2005 Chinese to English translation task (Eck and Hori, 2005), using the 2004 test set as development data for tuning the hyperparameters and MERT training the benchmark systems. ... See full document
9
On the Hardness of Probabilistic Inference Relaxations
... and probabilistic inference are computationally hard (Valiant 1979; Roth ...tic inference, and various approximations and relaxations are used in practice ...exact inference, while being ... See full document
8
Inferential framework for nonstationary dynamics I Theory
... neuronal systems. Their dynamical details are known only ...the inference of time- varying control parameters from the measurements of the spiking dynamics of neural ...reliable inference of ... See full document
8
Probabilistic Inference in Piecewise Graphical Models
... algebra systems (such as MAPLE) and computer theorem provers (like Vampire) are computer systems with the formal ability of symbolic ma- nipulation, they may superficially look similar, however, in practice ... See full document
165
PLIS: a Probabilistic Lexical Inference System
... arbitrary inference link de- rived from each resource corresponds to a valid in- ...art inference systems, including complex systems which perform syntactic analy- ... See full document
6
Simplifying Probabilistic Expressions in Causal Inference
... Algebra Systems (CAS) that operate on algebraic expressions. Modern CAS systems such as Mathematica (Wolfram Research ...for probabilistic expressions described in this paper have neither been given ... See full document
30
Approximate Inference of Outcomes in Probabilistic Elections
... Various processes require the preferences of different vot- ers over candidates to be aggregated towards a joint deci- sion; these include political elections, website rankings in search engines, and multiagent ... See full document
8
Probabilistic study of a dynamical system
... The cone K is invariant under the action of the linear semigroup L , but it is not necessarily the maximal L-invariant subset of E. Our next result shows that K is the tangent space at the origin (in a slightly ... See full document
34
A probabilistic treatment of uncertainty in nonlinear dynamical systems
... In chapter 4, three new methods were developed for estimating the stationary probability density function and statistical quantities of interest for the response of [r] ... See full document
178
Efficient Probabilistic Inference Algorithms for Cooperative Multiagent Systems
... LJF inference structure for improved efficiency of exact global propa- ...global inference could render any exact representation and calculation mostly ...exact inference against the calculation ... See full document
168
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
... smoothed inference in a class of switching linear dynamical systems, based on a novel form of Gaussian Sum ...linear dynamical system, expectation propagation, expectation ... See full document
26
Modeling and controlling of stochastic dynamics of complex nonlinear systems
... Deterministic inference techniques 3 consistently fail to yield accurate parameter estimates in the presence of ...intrinsic dynamical noise are ...tasks. Inference results from noisy observations ... See full document
14
Recognizing Textual Entailment Using Probabilistic Inference
... YAGO, a large semantic database including sev- eral thousands relations, to provide distant super- vision. The predicates in T are matched to YAGO facts due to some metrics. At last, we use the Markov Logic Network(MLN) ... See full document
6
The periodic solutions of the impulsive state feedback dynamical system
... semi-continuous dynamical system, which consists of two parts: the stability of periodic solution, the homoclinic and heteroclinic ...switched systems, the periodic solution is approximated by a series of ... See full document
21
Fourier Theoretic Probabilistic Inference over Permutations
... While there have been many approaches for coping with the factorial complexity of maintaining a distribution over permutations, most attack the problem using one of two ideas—storing and up- dating a small subset of ... See full document
74
Artificial Biochemical Networks : Evolving Dynamical Systems to Control Dynamical Systems
... minimal impact upon performance. The best controllers had a median path length of ∼110 steps (an example path is shown in Fig. 19). This is broadly similar to the trajectory mapping method described in [90], where the ... See full document
23
Dynamical Systems With Three Almost Complex Structures
... of dynamical systems is an important chapter of contemporary mathematics due to its applications in Mechanics, Theoretical ...a dynamical system , which are called equations of whose integral curves, ... See full document
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