[MINI] Partially Observable State Spaces
Data Skeptic23 Tammi 2015

[MINI] Partially Observable State Spaces

When dealing with dynamic systems that are potentially undergoing constant change, its helpful to describe what "state" they are in. In many applications the manner in which the state changes from one to another is not completely predictable, thus, there is uncertainty over how it transitions from state to state. Further, in many applications, one cannot directly observe the true state, and thus we describe such situations as partially observable state spaces. This episode explores what this means and why it is important in the context of chess, poker, and the mood of Yoshi the lilac crowned amazon parrot.

Tämä jakso on lisätty Podme-palveluun avoimen RSS-syötteen kautta eikä se ole Podmen omaa tuotantoa. Siksi jakso saattaa sisältää mainontaa.

Jaksot(601)

Water Demand Forecasting

Water Demand Forecasting

Georgia Papacharalampous, Researcher at the National Technical University of Athens, joins us today to talk about her work "Probabilistic water demand forecasting using quantile regression algorithms....

10 Tammi 202226min

Open Telemetry

Open Telemetry

John Watson, Principal Software Engineer at Splunk, joins us today to talk about Splunk and OpenTelemetry.

3 Tammi 202236min

Fashion Predictions

Fashion Predictions

Yusan Lin, a Research Scientist at Visa Research, comes on today to talk about her work "Predicting Next-Season Designs on High Fashion Runway."

27 Joulu 202134min

Time Series Mini Episodes

Time Series Mini Episodes

Time series topics on Data Skeptic predate our current season.  This holiday special collects three popular mini-episodes from the archive that discuss time series topics with a few new comments from ...

25 Joulu 202136min

Forecasting Motor Vehicle Collision

Forecasting Motor Vehicle Collision

Dr. Darren Shannon, a Lecturer in Quantitative Finance in the Department of Accounting and Finance, University of Limerick, joins us today to talk about his work "Extending the Heston Model to Forecas...

20 Joulu 202139min

Deep Learning for Road Traffic Forecasting

Deep Learning for Road Traffic Forecasting

Eric Manibardo, PhD Student at the University of the Basque Country in Spain, comes on today to share his work, "Deep Learning for Road Traffic Forecasting: Does it Make a Difference?"

13 Joulu 202131min

Bike Share Demand Forecasting

Bike Share Demand Forecasting

Daniele Gammelli, PhD Student in Machine Learning at Technical University of Denmark and visiting PhD Student at Stanford University, joins us today to talk about his work "Predictive and Prescriptive...

6 Joulu 202140min

Forecasting in Supply Chain

Forecasting in Supply Chain

Mahdi Abolghasemi, Lecturer at Monash University, joins us today to talk about his work "Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion."

29 Marras 202136min

Suosittua kategoriassa Tiede

rss-mita-tulisi-tietaa
rss-poliisin-mieli
tiedekulma-podcast
menologeja-tutkimusmatka-vaihdevuosiin
sotataidon-ytimessa
filocast-filosofian-perusteet
rss-duodecim-lehti
rss-astetta-parempi-elama-podcast
rss-lapsuuden-rakentajat-podcast
utelias-mieli
docemilia
radio-antro
rss-ranskaa-raakana
rss-kasvatuspsykologiaa-kaikille
rss-tiedetta-vai-tarinaa
rss-luontopodi-samuel-glassar-tutkii-luonnon-ihmeita
rss-sosiopodi