Geoffrey J. Gordon
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Geoffrey J. Gordon
Geoffrey J. Gordon is a professor at the Machine Learning Department at Carnegie Mellon University in Pittsburgh and director of research at the Microsoft Montréal lab. He is known for his research in statistical relational learning (a subdiscipline of artificial intelligence and machine learning) and on anytime dynamic variants of the A* search algorithm.Likhachev, Maxim; Gordon, Geoff; Thrun, Sebastian.ARA*: Anytime A* search with provable bounds on sub-optimality. In S. Thrun, L. Saul, and B. Schölkopf, editors, ''Proceedings of Conference on Neural Information Processing Systems (NIPS)'', Cambridge, MA, 2003. MIT Press. His research interests include multi-agent planning, reinforcement learning, decision-theoretic planning, statistical models of difficult data (e.g. maps, video, text), computational learning theory, and game theory. Gordon received a B.A. in computer science from Cornell University Cornell University is a private statutory land-grant research universi ...
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NSF-GRFP
The National Science Foundation Graduate Research Fellowship Program (NSF-GRFP) is a prestigious grant awarded annually by the National Science Foundation to approximately 2,000 students pursuing research-based Master's and doctoral degrees in the natural, social, and engineering sciences at US institutions. As of 2019, the fellowship provides an honorarium of $12,000 to be placed towards the cost of tuition and fees at the university the fellow attends; it also awards the student directly with an annual $34,000 stipend for three years, leading to an anticipated total award amount of $138,000. Each recipient could previously apply for a one-time-only travel award for $1,000. This travel award was previously for international research activities or presenting at an international scientific conference. However, in 2010, this opportunity was converted to the Nordic Research Opportunity, which is intended to facilitate collaborations between U.S. graduate fellows and scholars at Finnish ...
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Machine Learning
Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, agriculture, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.Hu, J.; Niu, H.; Carrasco, J.; Lennox, B.; Arvin, F.,Voronoi-Based Multi-Robot Autonomous Exploration in Unknown Environments via Deep Reinforcement Learning IEEE Transactions on Vehicular Technology, 2020. A subset of machine learning is closely related to computational statistics, which focuses on making predicti ...
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Microsoft Employees
Microsoft Corporation is an American multinational corporation, multinational technology company, technology corporation producing Software, computer software, consumer electronics, personal computers, and related services headquartered at the Microsoft Redmond campus located in Redmond, Washington, United States. Its best-known software products are the Microsoft Windows, Windows line of operating systems, the Microsoft Office Productivity software#Office suite, suite, and the Internet Explorer and Microsoft Edge, Edge web browsers. Its flagship hardware products are the Xbox video game consoles and the Microsoft Surface lineup of touchscreen personal computers. Microsoft ranked No. 21 in the 2020 Fortune 500 rankings of the largest United States corporations by total revenue; it was the world's List of the largest software companies, largest software maker by revenue as of 2019. It is one of the Big Tech, Big Five American information technology companies, alongside Alphabet ...
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Year Of Birth Missing (living People)
A year or annus is the orbital period of a planetary body, for example, the Earth, moving in its orbit around the Sun. Due to the Earth's axial tilt, the course of a year sees the passing of the seasons, marked by change in weather, the hours of daylight, and, consequently, vegetation and soil fertility. In temperate and subpolar regions around the planet, four seasons are generally recognized: spring, summer, autumn and winter. In tropical and subtropical regions, several geographical sectors do not present defined seasons; but in the seasonal tropics, the annual wet and dry seasons are recognized and tracked. A calendar year is an approximation of the number of days of the Earth's orbital period, as counted in a given calendar. The Gregorian calendar, or modern calendar, presents its calendar year to be either a common year of 365 days or a leap year of 366 days, as do the Julian calendars. For the Gregorian calendar, the average length of the calendar year (the ...
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Cornell University Alumni
Cornell University is a private statutory land-grant research university based in Ithaca, New York. It is a member of the Ivy League. Founded in 1865 by Ezra Cornell and Andrew Dickson White, Cornell was founded with the intention to teach and make contributions in all fields of knowledge—from the classics to the sciences, and from the theoretical to the applied. These ideals, unconventional for the time, are captured in Cornell's founding principle, a popular 1868 quotation from founder Ezra Cornell: "I would found an institution where any person can find instruction in any study." Cornell is ranked among the top global universities. The university is organized into seven undergraduate colleges and seven graduate divisions at its main Ithaca campus, with each college and division defining its specific admission standards and academic programs in near autonomy. The university also administers three satellite campuses, two in New York City and one in Education City, Qatar ...
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Carnegie Mellon University Faculty
Carnegie may refer to: People * Carnegie (surname), including a list of people with the name * Clan Carnegie, a lowland Scottish clan Institutions Named for Andrew Carnegie *Carnegie Building (Troy, New York), on the campus of Rensselaer Polytechnic Institute * Carnegie College, in Dunfermline, Scotland, a former further education college *Carnegie Community Centre, in downtown Vancouver, British Columbia *Carnegie Council for Ethics in International Affairs *Carnegie Endowment for International Peace, a global think tank with headquarters in Washington, DC, and four other centers, including: **Carnegie Middle East Center, in Beirut **Carnegie Europe, in Brussels **Carnegie Moscow Center * Carnegie Foundation (other), any of several foundations *Carnegie Hall, a concert hall in New York City * Carnegie Hall, Inc., a regional cultural center in Lewisburg, West Virginia *Carnegie Hero Fund *Carnegie Institution for Science, also called Carnegie Institution of Washington ( ...
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Carnegie Mellon University Alumni
Carnegie may refer to: People * Carnegie (surname), including a list of people with the name * Clan Carnegie, a lowland Scottish clan Institutions Named for Andrew Carnegie *Carnegie Building (Troy, New York), on the campus of Rensselaer Polytechnic Institute * Carnegie College, in Dunfermline, Scotland, a former further education college *Carnegie Community Centre, in downtown Vancouver, British Columbia *Carnegie Council for Ethics in International Affairs *Carnegie Endowment for International Peace, a global think tank with headquarters in Washington, DC, and four other centers, including: **Carnegie Middle East Center, in Beirut **Carnegie Europe, in Brussels **Carnegie Moscow Center * Carnegie Foundation (other), any of several foundations *Carnegie Hall, a concert hall in New York City * Carnegie Hall, Inc., a regional cultural center in Lewisburg, West Virginia *Carnegie Hero Fund *Carnegie Institution for Science, also called Carnegie Institution of Washington ( ...
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A* Search Algorithm
A* (pronounced "A-star") is a graph traversal and path search algorithm, which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. One major practical drawback is its O(b^d) space complexity, as it stores all generated nodes in memory. Thus, in practical travel-routing systems, it is generally outperformed by algorithms which can pre-process the graph to attain better performance, as well as memory-bounded approaches; however, A* is still the best solution in many cases. Peter Hart, Nils Nilsson and Bertram Raphael of Stanford Research Institute (now SRI International) first published the algorithm in 1968. It can be seen as an extension of Dijkstra's algorithm. A* achieves better performance by using heuristics to guide its search. Compared to Dijkstra's algorithm, the A* algorithm only finds the shortest path from a specified source to a specified goal, and not the shortest-path tree from a specified source to all possi ...
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Anytime Algorithm
In computer science, an anytime algorithm is an algorithm that can return a valid solution to a problem even if it is interrupted before it ends. The algorithm is expected to find better and better solutions the longer it keeps running. Most algorithms run to completion: they provide a single answer after performing some fixed amount of computation. In some cases, however, the user may wish to terminate the algorithm prior to completion. The amount of computation required may be substantial, for example, and computational resources might need to be reallocated. Most algorithms either run to completion or they provide no useful solution information. Anytime algorithms, however, are able to return a partial answer, whose quality depends on the amount of computation they were able to perform. The answer generated by anytime algorithms is an approximation of the correct answer. Names An anytime algorithm may be also called an "interruptible algorithm". They are different from contract ...
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Artificial Intelligence
Artificial intelligence (AI) is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by animals and humans. Example tasks in which this is done include speech recognition, computer vision, translation between (natural) languages, as well as other mappings of inputs. The ''Oxford English Dictionary'' of Oxford University Press defines artificial intelligence as: the theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI applications include advanced web search engines (e.g., Google), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go). ...
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Cornell University
Cornell University is a private statutory land-grant research university based in Ithaca, New York. It is a member of the Ivy League. Founded in 1865 by Ezra Cornell and Andrew Dickson White, Cornell was founded with the intention to teach and make contributions in all fields of knowledge—from the classics to the sciences, and from the theoretical to the applied. These ideals, unconventional for the time, are captured in Cornell's founding principle, a popular 1868 quotation from founder Ezra Cornell: "I would found an institution where any person can find instruction in any study." Cornell is ranked among the top global universities. The university is organized into seven undergraduate colleges and seven graduate divisions at its main Ithaca campus, with each college and division defining its specific admission standards and academic programs in near autonomy. The university also administers three satellite campuses, two in New York City and one in Education City, Qatar ...
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Statistical Relational Learning
Statistical relational learning (SRL) is a subdiscipline of artificial intelligence and machine learning that is concerned with domain models that exhibit both uncertainty (which can be dealt with using statistical methods) and complex, relational structure. Note that SRL is sometimes called Relational Machine Learning (RML) in the literature. Typically, the knowledge representation formalisms developed in SRL use (a subset of) first-order logic to describe relational properties of a domain in a general manner (universal quantification) and draw upon probabilistic graphical models (such as Bayesian networks or Markov networks) to model the uncertainty; some also build upon the methods of inductive logic programming. Significant contributions to the field have been made since the late 1990s. As is evident from the characterization above, the field is not strictly limited to learning aspects; it is equally concerned with reasoning (specifically probabilistic inference) and knowl ...
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