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72
Modeling Delayed Feedback in Display Advertising
"... In performance display advertising a key metric of a cam-paign effectiveness is its conversion rate – the proportion of users who take a predefined action on the advertiser web-site, such as a purchase. Predicting this conversion rate is thus essential for estimating the value of an impression and c ..."
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and can be achieved via machine learning. One difficulty how-ever is that the conversions can take place long after the impression – up to a month – and this delayed feedback hinders the conversion modeling. We tackle this issue by in-troducing an additional model that captures the conversion delay
1Sub-Nyquist Radar via Doppler Focusing
"... Abstract—We investigate the problem of a monostatic pulse-Doppler radar transceiver trying to detect targets, sparsely populated in the radar’s unambiguous time-frequency region. Several past works employ compressed sensing (CS) algorithms to this type of problem, but either do not address sample ra ..."
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with P, obtaining good detection performance even at SNR as low as-25dB. The recovery is based on the Xampling framework, which allows reducing the number of samples needed to accurately represent the signal, directly in the analog-to-digital conversion process. After sampling, the entire digital
MPEG-4 for Interactive Low-delay Real-time Communication
, 2003
"... ii Internet broadcasting techniques are wide spread and have been the focus off many research projects. Due to high transmission delays these systems often lack interactivity. This thesis introduces a new streaming system to deliver real-time video and audio data with low-delays across the Internet. ..."
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ii Internet broadcasting techniques are wide spread and have been the focus off many research projects. Due to high transmission delays these systems often lack interactivity. This thesis introduces a new streaming system to deliver real-time video and audio data with low-delays across the Internet
RICE UNIVERSITY Regime Change: Sampling Rate vs. Bit-Depth in Compressive Sensing
, 2011
"... The compressive sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by exploiting inherent structure in natural and man-made signals. It has been demon-strated that structured signals can be acquired with just a small number of linear measurements, on the order of t ..."
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of the signal complexity. In practice, this enables lower sampling rates that can be more easily achieved by current hardware designs. The primary bottleneck that limits ADC sam-pling rates is quantization, i.e., higher bit-depths impose lower sampling rates. Thus, the decreased sampling rates of CS ADCs
FURTHER EVIDENCE ON FORECASTING INTERNATIONAL GNP GROWTH RATES USING UNOBSERVED COMPONENTS TRANSFER FUNCTION MODELS*
"... ABSTRACT Forecast of intemational GNP growth rates are computed using a novel, onobserved components model that allows for estimating the trend and the perturbational components in GNPdata. The rnodel is fonnulated in state space terms, and estimating using recursive methods offiltering and fixed i ..."
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in Section 4. As before, in obtaining the forecasts, the models were re-estimated every year using all past data up to the forecasting period. Conversion from output levels to growth rates forecasts follows immediately, and forecasts errors and RMSE's were computed for each country. The forecasting
3esis Supervisor Accepted by
, 2005
"... in partial ful2llment of the requirements for the degree of ..."
Results 1 - 10
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72
