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Statistical Learning: Stability is Sufficient for Generalization and Necessary and Sufficient for Consistency of Empirical Risk Minimization
(2002-12-01)
Solutions of learning problems by Empirical Risk Minimization (ERM) need to be consistent, so that they may be predictive. They also need to be well-posed, so that they can be used robustly. We show that a statistical ...
Nonparametric Belief Propagation and Facial Appearance Estimation
(2002-12-01)
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There exist inference algorithms for discrete ...
Leaderless Distributed Hierarchy Formation
(2002-12-01)
I present a system for robust leaderless organization of an amorphous network into hierarchical clusters. This system, which assumes that nodes are spatially embedded and can only talk to neighbors within a given radius, ...
Design and Control of an Anthropomorphic Robotic Finger with Multi-point Tactile Sensation
(2001-05-01)
The goal of this research is to develop the prototype of a tactile sensing platform for anthropomorphic manipulation research. We investigate this problem through the fabrication and simple control of a planar 2-DOF robotic ...
Improving Multi-class Text Classification with Naive Bayes
(2001-09-01)
There are numerous text documents available in electronic form. More and more are becoming available every day. Such documents represent a massive amount of information that is easily accessible. Seeking value in this huge ...
Predicate Dispatching in the Common Lisp Object System
(2001-05-01)
I have added support for predicate dispatching, a powerful generalization of other dispatching mechanisms, to the Common Lisp Object System (CLOS). To demonstrate its utility, I used predicate dispatching to enhance Weyl, ...
Learning Commonsense Categorical Knowledge in a Thread Memory System
(2004-05-18)
If we are to understand how we can build machines capable of broad purpose learning and reasoning, we must first aim to build systems that can represent, acquire, and reason about the kinds of commonsense knowledge that ...
Building Grounded Abstractions for Artificial Intelligence Programming
(2004-06-16)
Most Artificial Intelligence (AI) work can be characterized as either ``high-level'' (e.g., logical, symbolic) or ``low-level'' (e.g., connectionist networks, behavior-based robotics). Each approach suffers from particular ...
Generative Temporal Planning with Complex Processes
(2004-05-18)
Autonomous vehicles are increasingly being used in mission-critical applications, and robust methods are needed for controlling these inherently unreliable and complex systems. This thesis advocates the use of model-based ...
A Note on the Generalization Performance of Kernel Classifiers with Margin
(2000-05-01)
We present distribution independent bounds on the generalization misclassification performance of a family of kernel classifiers with margin. Support Vector Machine classifiers (SVM) stem out of this class of machines. The ...