Sparse Representations for Fast, One-Shot Learning (1998)
Kenneth Yip, Gerald Jay Sussman
Humans rapidly and reliably learn many kinds of regularities and generalizations. We propose a novel model of fast learning that exploits the properties of sparse representations and the constraints...
Sparse Representations for Fast, One-Shot Learning (1998)
Kenneth Yip, Gerald Jay Sussman
Humans rapidly and reliably learn many kinds of regularities and generalizations. We propose a novel model of fast learning that exploits the properties of sparse representations and the constraints...
Sparse Representations for Fast, One-Shot Learning (1997)
Yip, Kenneth, Sussman, Gerald Jay
Humans rapidly and reliably learn many kinds of regularities and generalizations. We propose a novel model of fast learning that exploits the properties of sparse representations and the constraints...
Sparse Representations for Fast, One-Shot Learning (1997)
Yip, Kenneth, Sussman, Gerald Jay
Humans rapidly and reliably learn many kinds of regularities and generalizations. We propose a novel model of fast learning that exploits the properties of sparse representations and the constraints...
Sparse Representations for Fast, One-Shot Learning (1997)
Kenneth Yip, Gerald Jay Sussman
Humans rapidly and reliably learn many kinds of regularities and generalizations. We propose a novel model of fast learning that exploits the properties of sparse representations and the constraints...
Structural Inferences from Massive Datasets (1997)
High-level understanding of data must involve the interplay between substantial prior knowledge with geometric and statistical techniques. Our approach emphasizes the recovery of basic structural...
A Computational Model for the Acquisition and Use of Phonological Knowledge (1996)
Yip, Kenneth, Sussman, Gerald Jay
Does knowledge of language consist of symbolic rules? How do children learn and use their linguistic knowledge? To elucidate these questions, we present a computational model that acquires...
A Computational Model for the Acquisition and Use of Phonological Knowledge (1996)
Yip, Kenneth, Sussman, Gerald Jay
Does knowledge of language consist of symbolic rules? How do children learn and use their linguistic knowledge? To elucidate these questions, we present a computational model that acquires...
A computational model for the acquisition and use of phonological knowledge (1996)
Kenneth Yip, Gerald Jay Sussman
This publication can be retrieved by anonymous ftp to publications.ai.mit.edu. Does knowledge of language consist of symbolic rules? How do children learn and use their linguistic knowledge? To...
A computational model for the acquisition and use of phonological knowledge (1996)
Kenneth Yip, Gerald Jay Sussman
This publication can be retrieved by anonymous ftp to publications.ai.mit.edu. Does knowledge of language consist of symbolic rules? How dochildren learn and use their linguistic knowledge? To...
Spatial Aggregation: Theory and Applications (1996)
Visual thinking plays an important role in scientific reasoning. Based on the research in automating diverse reasoning tasks about dynamical systems, nonlinear controllers, kinematic mechanisms, and...
Spatial Aggregation: Language and Applications (1996)
Christopher Bailey-Kellogg, Feng Zhao, Kenneth Yip
Spatial aggregation is a framework for organizing computations around image-like, analogue representations of physical processes in data interpretation and control tasks. It conceptualizes common...
Spatial Aggregation: Language and Applications (1996)
Christopher Bailey-Kellogg, Feng Zhao, Kenneth Yip
This paper describes the spatial aggregation language and its applications. Spatial aggregation is a framework for organizing computations around imagelike, analogue representations of physical...
Spatial Aggregation: Theory and Applications (1996)
Visual thinking plays an important role in scientific reasoning. Based on the research in automating diverse reasoning tasks about dynamical systems, nonlinear controllers, kinematic mechanisms, and...
Spatial Aggregation: Theory and Applications (1996)
Visual thinking plays an important role in scienti c reasoning. Based on the research in automating diverse reasoning tasks about dynamical systems, nonlinear controllers, kinematic mechanisms, and...
Spatial Aggregation: Theory and Applications (1996)
Visual thinking plays an important role in scienti c reasoning. Based on the researchin automating diverse reasoning tasks about dynamical systems, nonlinear controllers, kinematic mechanisms, and...
Spatial Aggregate: Theory and Application to Qualitative Physics (1995)
Effective reasoning about a physical system requires an appropriate mapping from the system characteristics to abstractions that match the impedance of the task at hand. In Qualitative Physics, three...
Reasoning about fluid motion: Finding Structures (1995)
With the increasing role of high performance computing in attacking complex physical problems, there is an urgent need for the development of advanced computational technology to provide scientists...
Intelligence in scientific computing (1989)
Harold Abelson, Michael Eisenberg, Mathew Halfant, Ken Yip, Jacob Katzenelson, Jacob Katzenelson, ...
Combining numerical techniques with ideas from symbolic computation and with methods incorporating knowledge of science and mathematics leads to a new category of intelligent computational tools for...