- REFERENCES 21 [15] H. M. Mabie and C. F. Reinholtz. Mechanisms and Dynamics of Machinery,
- Optimizing for Reduced Code Space using Genetic Algorithms Keith D. Cooper, Philip J. Schielke, and Devika Subramanian
- Acta Cryst. (2000). D56, 817827 Hennessy et al. Crystallization screening procedures 817 research papers
- An Experimental Evaluation of List Scheduling ? Keith D. Cooper, Philip J. Schielke, and Devika Subramanian
- in the talk. All the physical prototyping of the designs presented in this paper were performed using Technics
- Adaptive Optimizing Compilers for the 21 st Century Keith D. Cooper Devika Subramanian Linda Torczon
- Modeling Individual Differences in Learning a Navigation Task Diana Gordon (gordon@aic.nrl.navy.mil)*
- Random 3SAT: The Plot Thickens Cristian Coarfa, Demetrios D. Demopoulos ? , Alfonso San Miguel Aguirre ?? ,
- Customizing Information Capture and DANIELA RUS
- Predicting Altered Pathways using Extendable Scaffolds Bradley M. Broom
- A Cognitive Model of Learning to Navigate Diana Gordon
- Ants and Reinforcement Learning: A Case Study in Routing in Dynamic Networks
- Computational Methods for Learning Bayesian Networks from High-Throughput
- An Overview of Current Research on Knowledge Compilation and Speedup Learning
- A THEORY OF JUSTIFIED REFORMULATIONS a dissertation
- Predicting protein-ligand interactions from primary structure R. Bandyopadhyay y , X.-X. Tan z , K. S. Matthews x , D. Subramanian {
- Ants and Reinforcement Learning: A Case Study in Routing in Dynamic Networks
- Robust localization algorithms for an autonomous campus tour guide Richard Thrapp and Christian Westbrook and Devika Subramanian
- A Multistrategy Learning Scheme for Assimilating Advice in Embedded Agents
- A New Approach to Routing With Dynamic Metrics Johnny Chen Peter Druschel Devika Subramanian
- Shifting vocabulary bias in speedup learning Devika Subramanian
- An Efficient Multipath Forwarding Method Johnny Chen Peter Druschel Devika Subramanian
- Inducing hybrid models of task learning from visualmotor data Devika Subramanian
- The Common Order-theoretic Structure Version Spaces and ATMS's
- Kinematic Synthesis with Configuration Spaces \Lambda Devika Subramanian
- Provably bounded optimal agents Stuart J. Russell
- Tracking the evolution of learning on a visual-motor task Devika Subramanian devika@rice.edu
- A Simple, Practical Distributed MultiPath Routing Algorithm DRAFT---DO NOT DISTRIBUTE
- Informatica 17 page xxx--yyy 1 A MULTISTRATEGY LEARNING SCHEME FOR AGENT
- Compositional synthesis of optical imaging systems Devika Subramanian and Ron Goldman
- An Overview of Current Research on Knowledge Compilation and Speedup Learning, Douglas Fisher, Devika Subramanian, and Prasad Tadepalli.
- Making Situation Calculus Indexical \Lambda Devika Subramanian y
- Conceptual Synthesis of Mechanisms from Qualitative Speci cations of Behaviour
- RICE UNIVERSITY Tracking Evolution of Learning on
- Constructing Bounded Optimal Systems Stuart Russell Devika Subramanian
- Multimedia RISSC Informatics: Retrieving Information with Simple Structural Components
- Compilation Order Matters Keith D. Cooper, Timothy J. Harvey, Devika Subramanian, and Linda Torczon
- Induction of Rules for Biological Macromolecule Crystallization Daniel Hennessy and Vanathi Gopalakrishnan and Bruce G. Buchanan \Lambda
- The design of provably good, distribution-sensitive speedup-learning algorithms
- A THEORY OF JUSTIFIED REFORMULATIONS 1 Devika Subramanian
- Subjective Ontologies Devika Subramanian y
- Using Machine Learning to Analyze Biological Macromolecular Crystallization Data
- Int. J. Bioinformatics Research and Applications, Vol. 2, No. 1, 2006 3 Copyright 2006 Inderscience Enterprises Ltd.
- REPRESENTATIONAL ISSUES IN MACHINE LEARNING Devika Subramanian 1
