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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 ...
The Architect's Collaborator: Toward Intelligent Tools for Conceptual Design
(2001-01-01)
In early stages of architectural design, as in other design domains, the language used is often very abstract. In architectural design, for example, architects and their clients use experiential terms such as "private" ...
Parallel Coupled Micro-Macro Actuators
(1996-01-01)
This thesis presents a new actuator system consisting of a micro-actuator and a macro-actuator coupled in parallel via a compliant transmission. The system is called the Parallel Coupled Micro-Macro Actuator, or PaCMMA. ...
From Genetic Algorithms to Efficient Organization
(1994-05-01)
The work described in this thesis began as an inquiry into the nature and use of optimization programs based on "genetic algorithms." That inquiry led, eventually, to three powerful heuristics that are broadly applicable ...
Segmentation of Brain Tissue from Magnetic Resonance Images
(1995-01-01)
Segmentation of medical imagery is a challenging problem due to the complexity of the images, as well as to the absence of models of the anatomy that fully capture the possible deformations in each structure. Brain ...
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, ...
Object Recognition with Pictorial Structures
(2001-05-01)
This thesis presents a statistical framework for object recognition. The framework is motivated by the pictorial structure models introduced by Fischler and Elschlager nearly 30 years ago. The basic idea is to model an ...
The Informational Complexity of Learning from Examples
(1996-09-01)
This thesis attempts to quantify the amount of information needed to learn certain tasks. The tasks chosen vary from learning functions in a Sobolev space using radial basis function networks to learning grammars in ...
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 ...