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1 Feb 2023: Professor Anderson mentioned that it makes no economic sense to sack Professors who every year bring in far more income in grants than it costs to employ them – I myself have

2 Feb 2023: Project on Mental Capital and Wellbeing and has spoken in Davos at the World Economic Forum in 2014. ... She is also co-inventor of the EMOTICOM computerized tests of social and emotional cognition.

2 Feb 2023: the exploitation of their work lies a societal interest in the work as a means for achieving socio-economic development. ... impaired individuals to freely access literary works under certain special conditions so as to promote socio-economic development.

6 Feb 2023: test that prospective drivers must pass before being licensed to operate in the City. ... York Times, 10 November 2014) <http://www.nytimes.com/2014/11/10/t-magazine/london-taxi-test-knowledge.html>.

7 Feb 2023: their distinctiveness as forms of assessment, aiming to test different sorts of. ... For. instance, two questions referred to trajectories (‘economic trajectories’ in Q13.

9 Feb 2023: Many things have changed. In particular, economic growth has slowed across the world. ... Nevertheless, they raise a number of important issues with regards to the Mongolian political and economic situation.

11 Feb 2023: Economics 1 1 2. Education 1 1 1 2 2. Engineering 3 1 3 3 1 1.

13 Feb 2023: Finally, the fourth conversion yields an algorithm for synthesising program source code from input-output examples that is able to solve test problems 1-3 orders of magnitude faster than a ... Versa substitutes optimization at test time with forward

13 Feb 2023: In this work, we test how well-automated methods can detect conversational behaviors and replace an expert human annotator. ... Abstract: Domain generalization (DG) seeks predictors which perform well on unseen test distributions by leveraging data drawn

13 Feb 2023: Publications, Machine Learning Group, Department of Engineering, Cambridge. current group:. [former members:. [by year:. [Gaussian Processes and Kernel Methods. Gaussian processes are non-parametric distributions useful for doing Bayesian inference