Browsing Computer Science and Artificial Intelligence Lab (CSAIL) by Title

Now showing items 41-60 of 2625

  • An Accountable Source-To-Source Transformation System 

    Unknown author (1981-06-01)
    Though one is led to believe that program transformation systems which perform source-to-source transformations enable the user to understand and appreciate the resulting source program, this is not always the case. ...

  • Accurate and Scalable Surface Representation and Reconstruction from Images 

    Unknown author (2005-11-18)
    We introduce a new surface representation, the patchwork, to extend the problem of surface reconstruction from multiple images. A patchwork is the combination of several patches that are built one by one. This design ...

  • ACE: A Cliché-based Program Structure Editor 

    Unknown author (MIT Artificial Intelligence Laboratory, 1987-05)
    ACE extends the syntax-directed paradigm of program editing by adding support for programming clichés. A programming cliché is a standard algorithmic fragment. ACE supports the rapid construction of programs through the ...

  • Achieving Artificial Intelligence through Building Robots 

    Unknown author (1986-05-01)
    We argue that generally accepted methodologies of Artificial Intelligence research are limited in the proportion of human level intelligence they can be expected to emulate. We argue that the currently accepted ...

  • Achieving Real-Time Mode Estimation through Offline Compilation 

    Unknown author (2002-10-22)
    As exploration of our solar system and outerspace move into the future, spacecraft are being developed to venture on increasingly challenging missions with bold objectives. The spacecraft tasked with completing these ...

  • Active Knowledge 

    Unknown author (MIT Artificial Intelligence Laboratory, 1973-10)
    A progress report on the work described in Vision Flashes 33 and 43 on recognition of real objects. Emphasis is on the "active" use of knowledge in directing the flow of visual processing.

  • Active Learning with Statistical Models 

    Unknown author (1995-03-21)
    For many types of learners one can compute the statistically 'optimal' way to select data. We review how these techniques have been used with feedforward neural networks. We then show how the same principles may be ...

  • Active Touch Sensing 

    Unknown author (1981-04-01)
    The mechanical hand of the future will roll a screw between its fingers and sense, by touch, which end is which. This paper describes a step toward such a manipulator ?? robot finger that is used to recognize small ...

  • Activity Zones for Context-Aware Computing 

    Unknown author (2003-06-10)
    Location is a primary cue in many context-aware computing systems, and is often represented as a global coordinate, room number, or Euclidean distance various landmarks. A user?s concept of location, however, is often ...

  • Actor Semantics of PLANNER-73 

    Unknown author (MIT Artificial Intelligence Laboratory, 1974-11)
    Work on PLANNER-73 and actors has led to the development of a basis for semantics of programming languages. Its value in describing programs with side-effects, parallelism, and synchronization is discussed. Formal definitions ...

  • An Actor-Based Computer Animation Language 

    Unknown author (MIT Artificial Intelligence Laboratory, 1976-02)
    This paper reproduces an appendix of a doctoral thesis proposal that describes a language based on actor semantics designed especially for animation. The system described herein is built upon MacLisp and is also compatible ...

  • Actors and Continuous Functionals 

    Unknown author (1977-07-01)
    This paper presents precise versions of some "laws" that must be satisfied by computations involving communicating parallel processes. The laws take the form of stating plausible restrictions on the histories of ...

  • ACTORS: A Model of Concurrent Computation in Distributed Systems 

    Unknown author (1985-06-01)
    A foundational model of concurrency is developed in this thesis. We examine issues in the design of parallel systems and show why the actor model is suitable for exploiting large-scale parallelism. Concurrency in actors ...

  • ADAM: A Decentralized Parallel Computer Architecture Featuring Fast Thread and Data Migration and a Uniform Hardware Abstraction 

    Unknown author (2002-06-01)
    The furious pace of Moore's Law is driving computer architecture into a realm where the the speed of light is the dominant factor in system latencies. The number of clock cycles to span a chip are increasing, while the ...

  • Adaptation for Regularization Operators in Learning Theory 

    Unknown author (2006-09-10)
    We consider learning algorithms induced by regularization methods in the regression setting. We show that previously obtained error bounds for these algorithms using a-priori choices of the regularization parameter, can ...

  • Adaptive Envelope MDPs for Relational Equivalence-based Planning 

    Unknown author (2008-07-29)
    We describe a method to use structured representations of the environmentâ s dynamics to constrain and speed up the planning process. Given a problem domain described in a probabilistic logical description language, we ...

  • Adaptive Kernel Methods Using the Balancing Principle 

    Unknown author (2008-10-16)
    The regularization parameter choice is a fundamental problem in supervised learning since the performance of most algorithms crucially depends on the choice of one or more of such parameters. In particular a main theoretical ...

  • Additions to LAP 

    Unknown author (1967-07-01)
    In addition to the description on page 13 of AI Memo 116A LAP has the following features: Current Assembly Location Reference, Assembly Time Arithmetic, Constants, Multiple Entry Routines, and Defined Machine Operations ...

  • Additions to Vision Library 

    Unknown author (1966-08-01)
    Modified LAP: Additions have been made to LAP as described in the PDP-6 write-up.

  • ADEPT: A Heuristic Program for Proving Theorems of Group Theory 

    Unknown author (1966-09-01)
    A computer program, named ADEPT (A Distinctly Empirical Prover of Theorems), has been written which proves theorems taken from the abstract theory of groups. Its operation is basically heuristic, incorporating many ...