NDLI: Ranking Electrical Feeders of the New York Power Grid

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2009 International Conference on Machine Learning and Applications

Table of Contents

Conference Committees

International Program Committee

Special Sessions Program Committee Members

[Keynote address]

Abstract of Tutorial - Machine Learning Techniques for Biomedical Text Retrieval in PubMed

Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures

Linear Representation Learning Using Sphere Factor Analysis

Study of Bidimensional Empirical Mode Decomposition Method for Various Radial Basis Function Surface Interpolators

Exploring Scale-Induced Feature Hierarchies in Natural Images

Robust Target Localization and Segmentation Using Graph Cut, KPCA and Mean-Shift

Mahalanobis Distance Based Non-negative Sparse Representation for Face Recognition

Learning American English Accents Using Ensemble Learning with GMMs

A Syllable-Level Probabilistic Framework for Bird Species Identification

Learning Deep Neural Networks for High Dimensional Output Problems

Video Copy Detection Using Temporally Informative Representative Images

Dominant Audio Descriptors for Audio Classification and Retrieval

A Hybrid Method of Genetic Algorithms and Ant Colony Optimization to Solve the Traveling Salesman Problem

A Multiobjective Genetic Fuzzy System for Obtaining Compact and Accurate Fuzzy Classifiers with Transparent Fuzzy Partitions

Randomized and Rank Based Differential Evolution

A Genetic Algorithm that Incorporates an Adaptive Mutation Based on an Evolutionary Model

Exact Graph Structure Estimation with Degree Priors

Estimating an Optimal Correlation Structure from Replicated Molecular Profiling Data Using Finite Mixture Models

Community Structure Identification: A Probabilistic Approach

Conditional Prediction Intervals for Linear Regression

Learning Parameters for Relational Probabilistic Models with Noisy-Or Combining Rule

Outlier Detection with One-Class Classifiers from ML and KDD

Discovering Characterization Rules from Rankings

ECON: A Kernel Basis Pursuit Algorithm with Automatic Feature Parameter Tuning, and its Application to Photometric Solids Approximation

An Incremental Model Selection Algorithm Based on Cross-Validation for Finding the Architecture of a Hidden Markov Model on Hand Gesture Data Sets

Discriminative Multi-stream Discrete Hidden Markov Models

Regularizing the Local Similarity Discriminant Analysis Classifier

Context-Dependent Fusion of Multiple Algorithms with Minimum Classification Error Learning

Graph Propositionalization for Random Forests

An Instance-Based Learning Approach for Available-Memory Non-minimal Cost-Bounded Search

Finding Answer Passages with Rank Optimizing Decision Trees

Hierarchical Stability-Based Model Selection for Clustering Algorithms

A New Incremental Pairwise Clustering Algorithm

Sequence Segmentation via Clustering of Subsequences

Feature Selection with Imbalanced Data for Software Defect Prediction

Wrapper-Based Feature Ranking for Software Engineering Metrics

A Novel Domain-Specific Feature Extraction Scheme for Arabic Handwritten Digits Recognition

Knowledge Transfer for Feature Generation in Document Classification

Semantic Word Spaces for Robust Role Labeling

Learning Context Free Grammars by Using SAT Solvers

Label Propagation on K-partite Graphs

Structured Prediction with Relative Margin

Comparative Analysis of Support Vector Machines Based on Linear and Quadratic Optimization Criteria

Incremental and Decremental Multi-category Classification by Support Vector Machines

Transformation Learning Via Kernel Alignment

The Neuro Slot Car Racer: Reinforcement Learning in a Real World Setting

Sensitivity Analysis of POMDP Value Functions

Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs

Exploiting Domain Symmetries in Reinforcement Learning with Continuous State and Action Spaces

Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning

Multiagent Transfer Learning via Assignment-Based Decomposition

Clustering and Naïve Bayesian Approaches for Situation-Aware Recommendation on Mobile Devices

Ranking Electrical Feeders of the New York Power Grid

Conditional Random Fields for Rock Characterization Using Drill Measurements

Mining Customers' Spatio-Temporal Behavior Data Using Topographic Unsupervised Learning

Estimating the Odometry Error of a Mobile Robot by Neural Networks

Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling

Enabling Efficient Time Series Analysis for Wearable Activity Data

ELM-Based Intelligent Resource Selection for Grid Scheduling

An Extended Version of the NLMF Algorithm Based on Proportionate Krylov Subspace Projections

Statistical Decision Making for Authentication and Intrusion Detection

Genetic Algorithms, Neural Networks, Fuzzy Inference System, Support Vector Machines for Call Performance Classification

Spectral Clustering and Feature Selection for Microarray Data

Differentially Expressed Gene Identification Based on Separability Index

Application of Inductive Confidence Machine to ICMLA Competition Data

Ensemble Possibilistic K-NN for Functional Clustering of Gene Expression Profiles in Human Cancers Challenge

Feature Selection in Cancer Classification from mRNA Data Based on Localized Dimension Reduction

Using Bayesian Logistic Regression with High-Order Interactions to Model Radiation-Induced Toxicities Following Radiotherapy

Machine Learning for Modeling Dose-Related Organ-at-Risk Complications after Radiation Therapy

Machine Learning for Intra-Fraction Tumor Motion Modeling with Respiratory Surrogates

Markerless Fluoroscopic Gating for Lung Cancer Radiotherapy Using Generalized Linear Discriminant Analysis

A Dynamic CT Image Reconstruction Method by Inducing Prior Information from PCA Analysis

Application of Machine Learning Techniques for Prediction of Radiation Pneumonitis in Lung Cancer Patients

Bayesian Network Learning for Detecting Reliable Interactions of Dose-Volume Related Parameters in Radiation Pneumonitis

Multi-Region Tracking for Lung Tumor Motion Assessment

Survival Prediction in Lung Cancer Treated with Radiotherapy: Bayesian Networks vs. Support Vector Machines in Handling Missing Data

Improving Clinical Relevance in Ensemble Support Vector Machine Models of Radiation Pneumonitis Risk

Adaptive Thresholding based on SOM Technique for Semi-Automatic NPC Image Segmentation

Maximum Likelihood Logistic Regression Using Metaheuristics

Evaluation of Approaches for Dimensionality Reduction Applied with Naive Bayes Anti-Spam Filters

Towards a Classifying Artificial Immune System for Web Server Attacks

Contextual Analysis Processing Able to Interpret Coherence of Knowledge Representations Related to Reputation

Weighted Consensus Clustering for Identifying Functional Modules in Protein-Protein Interaction Networks

A New Performance Measure for Class Imbalance Learning. Application to Bioinformatics Problems

Cost-Sensitive Classification Based on Bregman Divergences for Medical Diagnosis

Dimensionality Reduction in Gene Expression Database through the Random Projection Method

Tanimoto Metric in Tree-SOM for Improved Representation of Mass Spectrometry Data with an Underlying Taxonomic Structure

Fast Discriminative Linear Models for Scalable Video Tagging

A Timing-Based Classification Method for Human Voice in Opera Recordings

Vocal Characteristics Classification of Audio Segments: An Investigation of the Influence of Accompaniment Music on Low-Level Features

Structured Prediction Models for Chord Transcription of Music Audio

An Image Clustering and Retrieval Framework Using Feedback-Based Integrated Region Matching

Towards a Class-Based Representation of Perceptual Tempo for Music Retrieval

A Parameter Determination System for Wind Turbines Based on Naive Bayes Classification Algorithm

An Expert System to Estimate the Capacity of Harvesting Energy from Biogas and its Capacity in TRNC

Using Genetic Algorithm for Finding Switching Angles of a Single-Phase Multilevel DC/AC Converter on Solar Modules

Development of an Intelligent Decision Support System for Determining the Efficiency of Shunt Active Power Filter

Estimation of Fuel Cell Life Time Using Latent Variables in Regression Context

A New Digital Control DC-DC Converter with Multi-layer Neural Network Predictor

Multi Agent Holonic Based Architecture for Communication and Learning about Power Demand in Residential Areas

Learning Disambiguation of Hindi Morpheme "vaalaa' with a Sparse Corpus

Bagging Ranking Trees

A Hybrid Approach to Process Mining: Finding Immediate Successors of a Process by Using From-To Chart

Design of an Intelligent Decision Making System for a Travelling Wave Ultrasonic Motor

On the Complexity of General Solution DAGs

Learning Geographic Regions using Location Based Services in Next Generation Networks

Discretization Techniques and Genetic Algorithm for Learning the Classification Method PROAFTN

A New Competitive Strategy for Self Organizing Map Learning

A New Method for Learning Decision Trees from Rules

Evolution of Parameters for an Autonomous Canine Control Algorithm

Requirement Engineering Techniques Selection and Modeling An Expert System Based Approach

Text Classification Methodologies Applied to Micro-Text in Military Chat

Application of Artificial Neural Network (ANN) Method to Exergy Analysis of Thermodynamic Systems

Report Cards for Manholes: Eliciting Expert Feedback for a Learning Task

Alive on Back-feed Culprit Identification via Machine Learning

Mining Interesting Ratio Patterns over a Stream Sliding Window

A Supervised Time Series Feature Extraction Technique Using DCT and DWT

Classification in High-Dimensional Feature Spaces: Random Subsample Ensemble

An Ordinal Data Method for the Classification with Reject Option

A Novel Energy Saving and Power Production System Performance Analysis in Marine Power Plant Using Waste Heat

A Novel OCR System for Calculating Handwritten Persian Arithmetic Expressions

All-Monotony: A Generalization of the All-Confidence Antimonotony

Improving Prediction by Weighting Class Association Rules

Improving Fusion of Dimensionality Reduction Methods for Nearest Neighbor Classification

Clustering Similar Actions in Sequential Decision Processes

Discovering Rules from Disk Events for Predicting Hard Drive Failures

The Fuzzy Logic Control of a Multilevel Converter in a Variable Speed Wind Turbine

Grounding Symbols: Labelling and Resolving Pronoun Resolution with fLIF Neurons

Development of an Ontology of Learning Strategies and its Application to Generate Open Learner Models

Artificial Neural Networks Prognostic Evaluation of Post-Surgery Complications in Patients Underwent to Coronary Artery Bypass Graft Surgery

2008 Seventh International Conference on Machine Learning and Applications

Sixth International Conference on Machine Learning and Applications (ICMLA 2007)

2006 5th International Conference on Machine Learning and Applications (ICMLA'06)

Fourth International Conference on Machine Learning and Applications (ICMLA'05)

2004 International Conference on Machine Learning and Applications, 2004. Proceedings.

Ranking Electrical Feeders of the New York Power Grid

Content Provider	IEEE Xplore Digital Library
Author	Gross, P. Salleb-Aouissi, A. Dutta, H. Boulanger, A.
Copyright Year	2009
Abstract	Ranking problems arise in a wide range of real world applications where an ordering on a set of examples is preferred to a classification model. These applications include collaborative filtering, information retrieval and ranking components of a system by susceptibility to failure. In this paper, we present an ongoing project to rank the underground primary feeders of New York City's electrical grid according to their susceptibility to outages. We describe our framework and the application of machine learning ranking methods, using scores from Support Vector Machines (SVM), RankBoost and Martingale Boosting. Finally, we present our experimental results and the lessons learned from this challenging real-world application.
Starting Page	359
Ending Page	365
File Size	612826
Page Count	7
File Format	PDF
ISBN	9780769539263
DOI	10.1109/ICMLA.2009.99
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Substations Machine learning Cities and towns Boosting Grid computing Power grids Classification algorithms Stress Cables
Content Type	Text
Resource Type	Article

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