Browsing Faculty of Arts and Sciences by Title
Now showing items 12400-12419 of 24328
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M Dwarf Activity in the Pan-Starrs1 Medium-Deep Survey: First Catalog and Rotation Periods
(American Astronomical Society, 2016-12-21)We report on an ongoing project to investigate activity in the M dwarf stellar population observed by the Pan-STARRS 1 Medium Deep Survey (PS1-MDS). Using a custom-built pipeline, we refine an initial sample of ∼4 million ... -
M-DPOP: Faithful Distributed Implementations of Efficient Social Choice Problems
(AAAI Press, 2008)In the efficient social choice problem, the goal is to assign values, subject to side constraints, to a set of variables to maximize the total utility across a population of agents, where each agent has private information ... -
Macaque Ventral Visual Responses to Diverse Stimuli and during Natural Vision
(2023-01-17)Studies of vision in the primate brain must contend with a gap between reductionist experiments and the rich context of natural behaviors. I explored the selectivity of macaque ventral visual neurons within a broad stimulus ... -
Mach, Einstein, and the Search for Reality
(MIT Press, 1968) -
Machiavelli, Civic Humanism, and the Humanist Politics of Virtue
(Maney Publishing, 2014)Modern studies of Italian humanist political thought emphasize the theme of republican liberty, but this conception has been understood in anachronistic ways and exaggerated in importance. Much more central is the problem ... -
Machine Behaviour
(Springer Science and Business Media LLC, 2019-04)Machines powered by artificial intelligence increasingly mediate our social, cultural, economic and political interactions. Understanding the behaviour of artificial intelligence systems is essential to our ability to ... -
Machine Gun Politics: Why Politicians Cooperate with Criminal Groups
(2022-11-23)Why would a politician collude with a criminal group? Conventional wisdom generally depicts politicians as either passive recipients of bribes or the targets of criminal violence, even when interacting cooperatively. In ... -
Machine learning exciton dynamics
(Royal Society of Chemistry (RSC), 2016)Obtaining the exciton dynamics of large photosynthetic complexes by using mixed quantum mechanics/molecular mechanics (QM/MM) is computationally demanding. We propose a machine learning technique, multi-layer perceptrons, ... -
Machine Learning for Automated Planning
(2022-05-23)Automated planning is a long-standing problem which concerns finding an action sequence to solve a task. In this thesis, we explore two problems in leveraging machine learning for automated planning: (1) learning from ... -
Machine Learning for Flavor Development
Currently, most flavor development is performed by chemists who experimentally iterate many times to find flavors that best fit specified requirements. In this study, three potential algorithms for automating and accelerating ... -
Machine Learning for Humans: Building Models that Adapt to Behavior
(2021-09-09)As machine learning continues to exhibit remarkable performance across a wide range of experimental tasks, there is an increasing enthusiasm to deploy these models in the real world. However, the traditional supervised ... -
Machine Learning for Machines: Data-Driven Performance Tuning at Runtime Using Sparse Coding
(2015-01-21)We develop methods for adjusting device configurations to runtime conditions based on system-state predictions. Our approach statistically models performance data collected by either actively probing conditions such as ... -
Machine Learning in the Browser
(2017-07-14)The past decade has seen the rise of rich, dynamic Web applications, and it has also seen the popularization of machine learning. Despite this, we have not seen web applications that evaluate machine learning models in the ... -
Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth
(Springer Nature, 2017) -
Machine learning theory and practice as a source of insight into universal grammar.
(Cambridge University Press, 2007)In this paper, we explore the possibility that machine learning approaches to natural-language processing being developed in engineering-oriented computational linguistics may be able to provide specific scientific insights ... -
Machine Learning-Aided Economic Design
(2021-05-12)Nowadays, online markets (e.g. online advertising market and online two-sided markets) grow larger and larger everyday. Designing an efficient and near-optimal market is an intricate task. Market designers are facing ... -
Machine-guided design and evolution of biological systems: from the protein to the genome scale
(2018-05-11)Evolution has shown that mutation and selection over billions of years can produce complex molecules and organisms that thrive in a diverse range of environments. As biological engineers, we would like to systematize the ... -
Macrocyclic bis-thioureas catalyze stereospecific glycosylation reactions
(American Association for the Advancement of Science (AAAS), 2017-01-12)Carbohydrates are involved in nearly all aspects of biochemistry, but their complex chemical structures present long-standing practical challenges to their synthesis. In particular, stereochemical outcomes in glycosylation ... -
Macrocyclic Stereocontrol in Organic Synthesis: I. Efforts toward the Synthesis of (-)-Tetracycline II. Analysis of the Peripheral Attack Model
(2012-10-23)I. Efforts Toward the Synthesis of (–)-Tetracycline. A macrocyclic approach toward (–)-tetracycline is described. Traditional approaches towards the synthesis of tetracycline antibiotics employ the linear construction of ... -
The Macroeconomic Consequences of Microeconomic Phenomena in the Housing and Labor Markets
(2014-06-06)This dissertation consists of three independent chapters, each of which use microeconomic data and methods to inform an analysis of macroeconomic models and questions. The first two chapters study the short-run dynamics ...