1. AGENCY PROBLEMS AND RESIDUAL CLAIMS - SSRN

    https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID824606_code9.pdf?...

    Michael C. Jensen October, 19982 product demanded by customers at the lowest price while covering costs. This is the telling dimension on which the economic environment chooses among organizational f…

  2. Discovering phase transitions with unsupervised learning

    Lei Wang
    2016 · Physical Review B|被引数:39

    Unsupervised learning is a discipline of machine learning which aims at discovering patterns in large data sets or classifying the data into several categories without being trained explicitly. We show that unsup…

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  3. A Spatial Access-Oriented Implementation of a 3-D GIS Topological Data Model for Urban Entities - Home - Springer

    https://link.springer.com/article/10.1023/B:GEIN.0000034820.93914.d0

    Abstract. 3-D analysis in GIS is still one of the most challenging topics for research. With the goal being to model possible movement within the built environment, this paper, therefore, proposes a new approac…

  4. M3RSM: Many-To-Many Multi-Resolution Scan Matching

    https://april.eecs.umich.edu/pdfs/olson2015scanmatch.pdf

    M3RSM: Many-to-Many Multi-Resolution Scan Matching Edwin Olson 1 Abstract We describe a new multi-resolution scan matching method that makes exhaustive (and thus local-minimum-proof)

  5. Agency Problems and Dividend Policies around the World

    https://dash.harvard.edu/bitstream/handle/1/30747163/Agency...

    2 The so-called dividend puzzle (Black 1976) has preoccupied the attention of financial economists at least since Modigliani and Miller’s (1958, 1961) seminal work.

  6. Collaborative Deep Learning for Recommender Systems - arXiv

    https://arxiv.org/pdf/1409.2944v2

    Collaborative Deep Learning for Recommender Systems Hao Wang Hong Kong University of Science and Technology hwangaz@cse.ust.hk Naiyan Wang Hong Kong University of

  7. Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning

    Joel C Mccall · Mohan M Trivedi · David P Wipf · Bhaskar D Rao

    In this paper we demonstrate a driver intent inference system (DIIS) based on lane positional information, vehicle parameters, and driver head motion. We present robust computer vision methods for identifying …

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  8. 13-mJ, single frequency, sub-nanosecond Nd:YAG laser at kHz repetition rate with near diffraction limited beam quality

    Danail Chuchumishev · Alexander Gaydardzhiev · Anton Trifonov · Ivan Buchvarov

    Near diffraction limited, single frequency, passively Q-switched Nd:YAG laser (240-μJ, 830-ps at 0.5-kHz) is amplified up to 13-mJ in a three-stage diode pumped amplifier whilst preserving pulse duration, beam …

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  9. Measuring the robustness of link prediction algorithms under noisy environment - PubMed Central (PMC)

    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702065

    Results. Let us consider an undirected network G(V, E) where V is the node set and E is the link set. In link prediction problem, E is divided into a training set E T and a probe set E P.Usually, 90% of the link…

  10. 学术大师聚集地,人才培养典范——清华大学媒体与网络 ...

    www.cqvip.com/QK/87565X/200706S/24650098.html

    为了了解清华大学联合实验室的情况,《计算机教育》杂志拜访了清华大学计算机系党委书记兼常务副主任、“华大学媒体与网络技术教育部-微软联合实验室”主任杨士强 ...

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