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Browsing MIT Open Access Articles by Title

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  • Gavornik, Jeffrey P.; Shuler, Marshal G. Hussain; Loewenstein, Yonatan; Bear, Mark; Shouval, Harel Z. (National Academy of Sciences, 2009-04)
    The ability to represent time is an essential component of cognition but its neural basis is unknown. Although extensively studied both behaviorally and electrophysiologically, a general theoretical framework describing ...
  • Walter, Matthew R.; Hemachandra, Sachithra Madhaw; Homberg, Bianca S.; Tellex, Stefanie; Teller, Seth (Robotics: Science and Systems, 2013-06)
    This paper proposes an algorithm that enables robots to efficiently learn human-centric models of their environment from natural language descriptions. Typical semantic mapping approaches augment metric maps with higher-level ...
  • Bingham, Christopher B.; Davis, Jason (The Academy of Management, 2012-06)
    Much is known about the importance of learning and some of the distinct learning processes that organizations use (e.g., trial-and-error learning, vicarious learning, experimental learning, and improvisational learning). ...
  • Sachs, Karen; Itani, Solomon; Carlisle, Jennifer; Nolan, Garry P.; Pe'er, Dana; Lauffenburger, Douglas A. (Mary Ann Liebert, Inc., 2009-02)
    Flow cytometric measurement of signaling protein abundances has proved particularly useful for elucidation of signaling pathway structure. The single cell nature of the data ensures a very large dataset size, providing a ...
  • Pe'er, Dana; Lauffenburger, Douglas A.; Itani, Solomon; Carlisle, Jennifer; Nolan, Garry P.; Sachs, Karen (Mary Ann Liebert, Inc., 2009-02)
    Flow cytometric measurement of signaling protein abundances has proved particularly useful for elucidation of signaling pathway structure. The single cell nature of the data ensures a very large dataset size, providing a ...
  • Histed, Mark H.; Pasupathy, Anitha; Miller, Earl K. (Elsevier, 2009-07)
    Learning from experience requires knowing whether a past action resulted in a desired outcome. The prefrontal cortex and basal ganglia are thought to play key roles in such learning of arbitrary stimulus-response associations. ...
  • Miller, Earl K.; Pasupathy, Anitha; Histed, Mark H. (Elsevier Inc., 2009-07)
    Learning from experience requires knowing whether a past action resulted in a desired outcome. The prefrontal cortex and basal ganglia are thought to play key roles in such learning of arbitrary stimulus-response associations. ...
  • Yeo, Boon Thye Thomas; Sabuncu, Mert R.; Vercauteren, Tom; Holt, Daphne J.; Amunts, Katrin; Zilles, Karl; Golland, Polina; Fischl, Bruce (Institute of Electrical and Electronics Engineers, 2010-06)
    Image registration is typically formulated as an optimization problem with multiple tunable, manually set parameters. We present a principled framework for learning thousands of parameters of registration cost functions, ...
  • Rudin, Cynthia; Letham, Benjamin; Madigan, David (Association for Computing Machinery (ACM), 2013-11)
    We present a theoretical analysis for prediction algorithms based on association rules. As part of this analysis, we introduce a problem for which rules are particularly natural, called “sequential event prediction." In ...
  • Nam, Kyung-min (Oxford University Press, 2011-04)
    This study explores why international joint ventures (IJVs) based on the global South may meet with only partial success in nurturing local technological capability. The experience of China’s passenger-vehicle sector ...
  • Wang, Tong; Rudin, Cynthia; Wagner, Daniel; Sevieri, Rich (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2013, 2013-08-21)
    Our goal is to automatically detect patterns of crime. Among a large set of crimes that happen every year in a major city, it is challenging, time-consuming, and labor-intensive for crime analysts to determine which ...
  • Judd, Tilke M.; Ehinger, Krista A.; Durand, Fredo; Torralba, Antonio (Institute of Electrical and Electronics Engineers, 2010-05)
    For many applications in graphics, design, and human computer interaction, it is essential to understand where humans look in a scene. Where eye tracking devices are not a viable option, models of saliency can be used to ...
  • Branavan, Satchuthanan R.; Silver, David; Barzilay, Regina (Association for Computing Machinery, 2011-06)
    This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal is to enrich a stochastic player with ...
  • Lin, Dahua; Grimson, William E.; Fisher, John W., III (Institute of Electrical and Electronics Engineers, 2009-08)
    We present a novel method for modeling dynamic visual phenomena, which consists of two key aspects. First, the integral motion of constituent elements in a dynamic scene is captured by a common underlying geometric transform ...
  • Salakhutdinov, R.; Tenenbaum, Joshua B.; Torralba, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2013-08)
    We introduce HD (or “Hierarchical-Deep”) models, a new compositional learning architecture that integrates deep learning models with structured hierarchical Bayesian (HB) models. Specifically, we show how we can learn a ...
  • Belloni, Alexandre; Chernozhukov, Victor V. (Bernoulli Society for Mathematical Statistics and Probability, )
    We study post-model selection estimators which apply ordinary least squares (ols) to the model selected by first-step penalized estimators. It is well known that lasso can estimate the nonparametric regression function at ...
  • Yu, Huizhen (Society for Industrial and Applied Mathematics, 2012-12)
    We consider approximate policy evaluation for finite state and action Markov decision processes (MDP) with the least squares temporal difference (LSTD) algorithm, LSTD($\lambda$), in an exploration-enhanced learning context, ...
  • Liu, Fu; Stanley, Richard P. (Springer-Verlag, 2014-07)
    The s-lecture hall polytopes P [subscript s] are a class of integer polytopes defined by Savage and Schuster which are closely related to the lecture hall partitions of Eriksson and Bousquet-Mélou. We define a half-open ...
  • Maydanskiy, Maksim; Seidel, Paul (Oxford University Press, 2010-03)
    Using Lefschetz fibrations, we construct nonstandard symplectic structures on cotangent bundles of spheres. These structures are of Liouville type, which means exact and convex at infinity.
  • Bain, Daniel J.; Green, Mark B.; Campbell, John L.; Chamblee, John F.; Chaoka, Sayo; Fraterrigo, Jennifer M.; Kaushal, Sujay S.; Martin, Sherry L.; Jordan, Thomas E.; Parolari, Anthony J.; Sobczak, William V.; Weller, Donald E.; Wollheim, Wilfred M.; Boose, Emery R.; Duncan, Jonathan M.; Gettel, Gretchen M.; Hall, Brian R.; Kumar, Praveen; Thompson, Jonathan R.; Vose, James M.; Elliott, Emily M.; Leigh, David S. (University of California Press, 2012-06)
    Legacy effects of past land use and disturbance are increasingly recognized, yet consistent definitions of and criteria for defining them do not exist. To address this gap in biological- and ecosystem-assessment frameworks, ...
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