prediction errors
Information seeking as chasing anticipated prediction errors
... Humans and other animals have a strong preference for infor- mative options. They are inherently curious and will explore unknown options, even sacrificing rewards to resolve an un- certain outcome early. Sometimes the ...
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Stimulus representation and the timing of reward prediction errors in models of the dopamine system
... reward-prediction errors have emphasized that the low baseline levels of dopaminergic firing do not allow dopamine to adequately code for negative errors (Bayer & Glimcher, 2005; Bayer et ...TD ...
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Estimating the Confidence Interval for Prediction Errors of Support Vector Machine Classifiers
... the prediction error of SVM clas- sifiers based on cross-validated point estimators and their corresponding interval ...underlying prediction accuracy than the point ...
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Simulated Evidence on the Distribution of the Standardized One Step Ahead Prediction Errors in ARCH Processes
... standardized prediction error criterion (SPEC), Degiannakis and Xekalaki (2005a) proposed a model selection algorithm for ARCH ...the prediction performance improves if one switches models over ...
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Blind Phoneme Segmentation With Temporal Prediction Errors
... Phonemic segmentation of speech is a crit- ical step of speech recognition systems. We propose a novel unsupervised algo- rithm based on sequence prediction mod- els such as Markov chains and recurrent neural ...
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Class based Prediction Errors to Detect Hate Speech with Out of vocabulary Words
... In this paper, we deal with hate speech detection and, in particular, with abusive OOV words. To this extent we propose to use the error signal of class-based language models as input to text clas- sification algorithms. ...
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CAS: On Prediction of Future Insurance Claims When the Model Is Uncertain
... The remainder of the paper is organized as follows. Section 2 gives a brief review of the classical theory of prediction in regression. Section 3 is devoted to reviewing some of the investigations in the ...
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Xu_unc_0153D_16028.pdf
... To visualize the differences of BME ozone estimates from two up-scaling methods USM1 and USM2, we generate the maps for a selected day (11-July-2005), this day is chosen because it has the highest standard deviation (at ...
150
The stability and calibration of water vapor isotope ratio measurements during long-term deployments
... The prediction error envelopes sug- gest this variability is only statistically significant between approximately 4 and 6 mmol mol −1 ...large prediction errors near the q-range ...the ...
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How Bad are PoS Tagger in Cross Corpora Settings? Evaluating Annotation Divergence in the UD Project
... between prediction errors and annotation divergence, we compute, for each possible combination of a train and a test set (considering all languages in the UD project), the correlation between the error rate ...
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Influence of plasticity on the fatigue lifetime prediction of adhesively bonded joints using the stress-life approach
... The use of adhesive bonding for designing lightweight load-bearing components has increased in recent decades. In this paper the influence of plasticity on the lifetime pre- diction of bonded joints using the stress-life ...
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Data Transmission Plan Adaptation Complementing Strategic Time-Network Selection for Connected Vehicles
... movement prediction errors, we present our corresponding adap- tation mechanism, which refers to the initial plan by vehicle location instead of ...the prediction, location dependent net- work ...
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Designing an advanced etc system for secure image data transmission
... In recent years, processing of secured signals directly in the encrypted domain has gained a great attention. Since no semantic information about the image is available, compression in the encrypted domain was considered ...
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Simultaneous determination of valsartan, amlodipine besylate and hydrochlorothiazide in tablets by near infrared
... low prediction errors on a prediction set is possible as a consequence of the fact that the calibration set be representative of pharmaceutical formulation (quantitative composition of synthetic ...
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Custovic_unc_0153D_19192.pdf
... As per (Welch and Goyal, 2007), the y-axis is the cumulative squared prediction errors of the null model minus the cumulative squared prediction error of the alternative model. An increa[r] ...
116
Field methods for sampling tree height for tropical forest biomass estimation
... small, prediction errors of Weibull models were on average lower than those of log–log models at all sample ...height prediction error) when sample sizes were small, with the rela- tive performance ...
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Improving Forecast Accuracy of Financial Vulnerability: PLS Factor Model Approach
... We evaluate the out-of-sample forecast accuracy of our PLS-based models rela- tive to these benchmark models using the ratio of the root mean squared prediction errors (RRMSPE ) and the Diebold-Mariano-West ...
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Plantain: It is not only the dietary content, but also how we graze it…
... scaling errors, and thereby, false perceptions (good or bad) of particular grazing managements (Gregorini et ...acceptable prediction errors with root-mean-square prediction error no greater ...
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Surface models and the spatial structure of population variables: Exploring smoothing effects using Northern Ireland grid square data
... the prediction errors and this suggests that use of information on the spatial structure of variables is likely to provide benefits, in terms of accuracy of population reallocations, over common areal ...
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The variability of p-values
... Monte Carlo replication size is 1000. Bootstrap estimates are based on binomial(n, b π). Standard errors for coverage entries are bounded by 0.016. Average length is on the base 10 logarithm scale; standard ...
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