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(Semi-)Predictive Discretization During Model Selection
(2003-02-25)
In this paper, we present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of predictive accuracy, which ...
Persistent Nodes for Reliable Memory in Geographically Local Networks
(2003-04-15)
A Persistent Node is a redundant distributed mechanism for storing a key/value pair reliably in a geographically local network. In this paper, I develop a method of establishing Persistent Nodes in an amorphous matrix. I ...
Generalized Low-Rank Approximations
(2003-01-15)
We study the frequent problem of approximating a target matrix with a matrix of lower rank. We provide a simple and efficient (EM) algorithm for solving {\\em weighted} low rank approximation problems, which, unlike simple ...
Leveraging Learning and Language Via Communication Bootstrapping
(2003-03-17)
In a Communication Bootstrapping system, peer components with different perceptual worlds invent symbols and syntax based on correlations between their percepts. I propose that Communication Bootstrapping can also be ...
Inferring 3D Structure with a Statistical Image-Based Shape Model
(2003-04-17)
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure'' model. The 3D shape of a class of objects may be represented by sets of contours from silhouette views ...
Delegation, Arbitration and High-Level Service Discovery as Key Elements of a Software Infrastructure for Pervasive Computing
(2003-06-01)
The dream of pervasive computing is slowly becoming a reality. A number of projects around the world are constantly contributing ideas and solutions that are bound to change the way we interact with our environments and ...
Fast Pose Estimation with Parameter Sensitive Hashing
(2003-04-18)
Example-based methods are effective for parameter estimation problems when the underlying system is simple or the dimensionality of the input is low. For complex and high-dimensional problems such as pose estimation, ...
Activity Zones for Context-Aware Computing
(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 ...
The Essential Dynamics Algorithm: Essential Results
(2003-05-01)
This paper presents a novel algorithm for learning in a class of stochastic Markov decision processes (MDPs) with continuous state and action spaces that trades speed for accuracy. A transform of the stochastic MDP ...
Surviving the Information Explosion: How People Find Their Electronic Information
(2003-04-15)
We report on a study of how people look for information within email, files, and the Web. When locating a document or searching for a specific answer, people relied on their contextual knowledge of their information target ...