var Titles = new  Array()

var TitleNames = new  Array("survey", "CACM", "sdm-02", "Agents2002", "tods", "tools", "IPSJ", "Pricai2002", "stucco-dmkd", "kdd_archive", "icdm-01", "kdd01_e-index", "locally", "selina", "sdm01", "Methods", "www10", "webb", "eval", "dimen", "cmed", "w4", "keogh-kdd", "pakdd200_keogh", "pazzani00rep", "billsuspazzanichen", "koji", "nextgen", "IEEE-TC", "BillsusA", "kdd98", "j-comb-opt", "nextgen", "um99", "agents99-news", "stucco", "LinearModels", "agents99-web", "sigir99", "pkdd99", "ssdb99", "AIM", "Eval", "ai-mag", "geneva", "EamonnAIStats", "amia_fs98", "medinfo98", "two_stage_ml", "AIRVIEW", "mlj-pcr", "Global", "MLC98", "Webb", "TimeSeriesWorkshop", "IAAI98", "DataMining", "bahamas", "ProbUserModels", "ais97", "mlj97-pedro", "ctshiv", "Pazzani-aistats96", "KDD97", "CogSci97", "SW-MLJ", "ais97", "kdex", "paediatrics_abs", "mlia96-bstarr", "aaai-merz", "aim", "AI-MAG", "aime97_alz", "bc_alzml_article", "alz_dd_amia_fs97", "ali-mlj-mult-rulesets", "IEEE-merz", "alz-res", "ILP-MLJ", "Yamazaki-1996", "mlc96-pedro", "aaai-webert", "RevUserProfiles", "Pazzani-isis96", "dica-chi96", "nips-merz", "ali-ai-stats95-mult-relational", "hirschberg-clnl-91-dnf-cnf", "ali-pazzani-tai-journal", "Yamazaki-1995", "A-Lexically-Based-MLC-95", "Hume-and-Pazzani-CogSci95", "aniterative", "Coldlist", "Pazzani-MLJ92-Occam", "mlc94-clips-r", "MLC94", "ali-tai-94-multiple-models", "TAI-merz", "Pazzani-AIM94", "Computaional-Modeling-MLJ", "jair94-forest", "ReplyToReview", "yamazaki-pazzani", "Finding-Accurate-AAAI-93", "ali-ijcai-93-hydra", "ijcai93-wogulis", "clnl93-forest", "Pazzani-MLJ92-Occam", "ali-clnl92-small-disj", "Knowledge-Acquisition-KAW-92", "Pazzani-Spring-Hinder", "theutility", "Pazzani-MLJ92-Average", "Pazzani-MLC-92-CNF", "hirschberg-clnl-91-dnf-cnf", "cogscij", "jeplmc", "detecting", "Silverstein-MLC-91-cliche", "An-Investigation-MLW-91", "mlw91-id2of3", "detecting", "Pazzani-CogSci90-induction", "SciDisc", "CBRIndexing", "eblweak", "influence", "IJCAI-Occam", "Pazzani-MLJ92-Average", "one-sided", "speechacts", "selecting", "inducing", "usingprior", "ijcai87", "automated", "refining", "therole", "word-meaning", "coling", "snuka") 

Titles["survey"] =  "Segmenting Time Series: A Survey and Novel Approach"

Titles["CACM"] =  "Adaptive interfaces for ubiquitous web"

Titles["sdm-02"] =   "Iterative Deepening Dynamic Time Warping for Time Series"

Titles["Agents2002"] =   "Adaptive Web Site Agents"

Titles["tods"] =  "Locally adaptive dimensionality reduction for indexing large time series databases"

Titles["tools"] =   "Learning the Structure of Augmented Bayesian Classifiers"

Titles["IPSJ"] =      "Improvement of Collaborative Filtering with the Simple  Bayesian Classifier"

Titles["Pricai2002"] =  "Commercial Applications of Machine Learning for personalized wireless portals"

Titles["stucco-dmkd"] =   "Detecting Group Differences: Mining Contrast Sets"

Titles["kdd_archive"] =  "The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation"

Titles["icdm-01"] =   "An Online Algorithm for Segmenting Time Series"

Titles["kdd01_e-index"] =   "Ensemble-Index: A New Approach to Indexing Large Databases"

Titles["locally"] =   "Locally adaptive dimensionality reduction for indexing large time series databases"

Titles["selina"] =    "Using ensembles of representations for indexing large databases"

Titles["sdm01"] =   "Derivative Dynamic Time Warping"

Titles["Methods"] =   "Acceptance of Rules Generated by Machine Learning among Medical Experts"

Titles["www10"] =   "Improving mobile internet usability WWW 2001"

Titles["webb"] =  "Machine learning for user modeling"

Titles["eval"] =   "Discovering and Describing Category Differences: What makes a discovered difference insightful"

Titles["dimen"] =    "Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases"

Titles["cmed"] =   "Characterizing Model Errors and Differences"

Titles["w4"] =   "Characterizing Model Performance in the Feature Space"

Titles["keogh-kdd"] =    "Scaling up Dynamic Time Warping for Datamining Applications"

Titles["pakdd200_keogh"] =    "A simple dimensionality reduction technique for fast similarity search in large time series databases"

Titles["pazzani00rep"] =  "Representation of electronic mail filtering profiles: a user study"

Titles["billsuspazzanichen"] =   "A learning agent for wireless news access"

Titles["koji"] =   "Collaborative Filtering with the Simple Bayesian Classifier"

Titles["nextgen"] = " Learning with Globally Predictive Tests"

Titles["IEEE-TC"] =    "Knowledge discovery from data"

Titles["BillsusA"] =    "User Modeling for Adaptive News Access"

Titles["kdd98"] = "An enhanced representation of time series which allows fast and accurate classification, clustering and relevance feedback"

Titles["j-comb-opt"] = "Combinatorial Optimization in Rapidly Mutating Drug-Resistant Viruses"


Titles["um99"] = "A Hybrid User Model for News Story Classification"

Titles["agents99-news"] = "A Personal News Agent that Talks, Learns and Explains"

Titles["stucco"] = "Detecting Change in Categorical Data: Mining Contrast Sets"

Titles["LinearModels"] = "The Independent Sign Bias: Gaining Insight from Multiple Linear Regression"

Titles["agents99-web"] = "Adaptive Web Site Agents"

Titles["sigir99"] = "Relevance Feedback Retrieval of Time Series Data"

Titles["pkdd99"] = "Scaling up Dynamic Time Warping to Massive Datasets"

Titles["ssdb99"] = "An indexing scheme for similarity search in large time series databases"

Titles["AIM"] = "Refinement of Neuro-Psychological Tests for Dementia Screening in a Cross Cultural Population Using Machine Learning"

Titles["Eval"] = "Evaluating Adaptive Web site Agents"

Titles["ai-mag"] ="Knowledge-based Avoidance of Drug-Resistant HIV Mutants"

Titles["geneva"] ="Application of a genotypic driven rule-based expert artificial intelligence computer system in treatment experienced HIV-infected patients:  Immunologic and virologic response"

Titles["EamonnAIStats"] = "Learning augmented Bayesian classifiers: A comparison of distribution-based and classification-based approaches"

Titles["amia_fs98"] = "Guideline Generation from Data by Induction of Decision Tables Using a Bayesian Network Framework"

Titles["medinfo98"] = "Simple Models for Estimating Dementia Severity Using Machine Learning"

Titles["two_stage_ml"] = "Two-Stage Machine Learning Model for Guideline Development"

Titles["AIRVIEW"] = "A Framework for Collaborative, Content-Based and Demographic Filtering"

Titles["mlj-pcr"] = "A Principal Components Approach to Combining Regression Estimates"

Titles["Global"] = "Learning with Globally Predictive Tests"

Titles["MLC98"] = "Learning Collaborative Information Filters"

Titles["Webb"] = "Adjusted Probability Naive Bayesian Induction"

Titles["TimeSeriesWorkshop"] = "An enhanced representation of time series which allows fast and accurate classification, clustering and relevance feedback"




Titles["IAAI98"] =  "Knowledge-based Avoidance of Drug-Resistant HIV Mutants"

Titles["DataMining"] = "Comprehensible Knowledge Discovery: Gaining Insight from Data"

Titles["bahamas"] = "CTSHIV: A Knowledge-based System in the Management of HIV-infected patients"

Titles["ProbUserModels"] = "Learning Probabilistic User Models"

Titles["ais97"] = "Combining Neural Network Regression Estimates Using Principal Components"

Titles["mlj97-pedro"] = "On the Optimality of the Simple Bayesian Classifier under Zero-One Loss"

Titles["ctshiv"] = "Application of an Expert System in the Management of HIV-Infected Patients"

Titles["Pazzani-aistats96"] = "Searching for dependencies in Bayesian classifiers"

Titles["KDD97"] = "Beyond Concise and Colorful: Learning Intelligible Rules"

Titles["CogSci97"] = "Comprehensible Knowledge-Discovery in Databases"

Titles["SW-MLJ"] = "Learning and Revising User Profiles: The Identification of Interesting Web Sites"

Titles["ais97"] = "Combining Neural Network Regression Estimates Using Principal Components"

Titles["kdex"] = "Generating Models of Mental Retardation from Data with Machine Learning "

Titles["paediatrics_abs"] = "Detecting Mental Retardation in Newborns and Infants: A Machine Learning Approach"

Titles["mlia96-bstarr"] = "Do I Care? -- Tell Me What's Changed on the Web"

Titles["aaai-merz"] = "Handling Redundancy in Ensembles of Learned Models Using Principal Components"

Titles["aim"] = "Applying machine learning to an Alzheimer's database"

Titles["AI-MAG"] = "Learning Probabilistic User Profiles: Applications to Finding Interesting Web Sites, Notifying Users of Relevant Changes to Web Pages, and Locating Grant Opportunities."

Titles["aime97_alz"] = "Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods"

Titles["bc_alzml_article"] = "Dementia Screening with Machine Learning Methods"

Titles["alz_dd_amia_fs97"] = "Differential Diagnosis of Dementia: A Knowledge Discovery and Data Mining (KDD) Approach"

Titles["ali-mlj-mult-rulesets"] = "Error Reduction through Learning Multiple Descriptions"

Titles["IEEE-merz"] = "Tuning Numeric Parameters of a Knowledge-Based System for Troubleshooting the Local Loop of the Telephone Network."

Titles["alz-res"] = "Improving Dementia Screening Tests with Machine Learning Methods"

Titles["ILP-MLJ"] = "Review of Inductive Logic Programming"

Titles["Yamazaki-1996"] = "Acquiring and updating hierarchical knowledge for machine translation based on a clustering technique"

Titles["mlc96-pedro"] = "Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier"

Titles["aaai-webert"] = "Syskill & Webert: Identifying interesting web sites"

Titles["RevUserProfiles"] = "Revising User Profiles: The Search for Interesting Web Sites"

Titles["Pazzani-isis96"] = "Constructive Induction of Cartesian Product Attributes"

Titles["dica-chi96"] = "Do-I-Care: A Collaborative Web Agent"

Titles["nips-merz"] = "Combining Neural Network Regression Estimates with Regularized Linear Weights"

Titles["ali-ai-stats95-mult-relational"] = "Classication using Bayes Averaging of Multiple, Relational Rule-based Models"

Titles["hirschberg-clnl-91-dnf-cnf"] = "Average Case Analysis of k-CNF and k-DNF learning algorithms"

Titles["ali-pazzani-tai-journal"] = "HYDRA-MM: Learning Multiple Descriptions to Improve Classication Accuracy"

Titles["Yamazaki-1995"] = "Learning Hierarchies from Ambiguous Natural Language Data"

Titles["A-Lexically-Based-MLC-95"] = "A Linguistically Based Semantic Bias for Theory Revision"

Titles["Hume-and-Pazzani-CogSci95"] = "Learning Sets of Related Concepts: A Shared Task Model"

Titles["aniterative"] = "An iterative-improvement approach for the discretization of numeric attributes in Bayesian classifiers"

Titles["Coldlist"] = "Learning from hotlists and coldlists: Towards a WWW information filtering and seeking agent"

Titles["Pazzani-MLJ92-Occam"] = "Learning Causal Patterns: Making a transition from data-driven to theory-driven learning"

Titles["mlc94-clips-r"] = "Revision of production system rule-bases"

Titles["MLC94"] = "Reducing Misclassification Costs"

Titles["ali-tai-94-multiple-models"] = "On Learning Multiple Descriptions of a Concept"

Titles["TAI-merz"] = "Parameter Tuning for the MAX Expert System"

Titles["Pazzani-AIM94"] = "Trading off coverage for accuracy in forecasts: Applications to clinical data analysis "

Titles["Computaional-Modeling-MLJ"] = "Computational Models of Human Learning "

Titles["jair94-forest"] = "Exploring the Decision Forest: An Empirical Investigation of Occam's Razor in Decision Tree Induction"

Titles["ReplyToReview"] = "Reply to A Review of Creating a Memory of Causal Relationships"

Titles["yamazaki-pazzani"] = "A Cluster Analysis Approach to Learning a Semantic Hierarchy for Machine Translation"

Titles["Finding-Accurate-AAAI-93"] = "Finding Accurate Frontiers: A Knowledge-Intensive Approach to Relational Learning"

Titles["ali-ijcai-93-hydra"] = "HYDRA: A Noise-tolerant Relational Concept Learning Algorithm"

Titles["ijcai93-wogulis"] = "A Methodology for Evaluating Theory Revision Systems: Results with Audrey II "

Titles["clnl93-forest"] = "Exploring the Decision Forest"

Titles["Pazzani-MLJ92-Occam"] = "Learning Causal Patterns: Making a transition from data-driven to theory-driven learning"

Titles["ali-clnl92-small-disj"] = "Reducing the Small Disjuncts Problem by Learning Probabilistic Concept Descriptions"

Titles["Knowledge-Acquisition-KAW-92"] = "Knowledge Acquisition with a Knowledge-Intensive Machine Learning System"

Titles["Pazzani-Spring-Hinder"] = "When Prior Knowledge Hinders Learning"

Titles["theutility"] = "The Utility of Knowledge in Inductive Learning"

Titles["Pazzani-MLJ92-Average"] = "A Framework for Average Case Analysis of Conjunctive Learning Algorithms"

Titles["Pazzani-MLC-92-CNF"] = "Average Case Analysis of Learning k-CNF Concepts"

Titles["hirschberg-clnl-91-dnf-cnf"] = "Average Case Analysis of k-CNF and k-DNF learning algorithms"

Titles["cogscij"] = "A computational theory of learning causal relationships"

Titles["jeplmc"] = "The Influence of Prior Knowledge on Concept Acquisition: Experimental and Computational Results"

Titles["detecting"] = "Detecting and correcting errors in rule-based expert systems: an integration of empirical and explanation-based learning"

Titles["Silverstein-MLC-91-cliche"] = "Relational cliches: Constraining constructive induction during relational learning"

Titles["An-Investigation-MLW-91"] = "An Investigation of Noise-Tolerant Relational Concept Learning Algorithms"

Titles["mlw91-id2of3"] = "ID2-of-3: Constructive Induction of M-of-N Concepts for Discriminators in Decision Trees"

Titles["detecting"] = "Detecting and correcting errors in rule-based expert systems: an integration of empirical and explanation-based learning"

Titles["Pazzani-CogSci90-induction"] = "Feature Selection and Hypothesis Selection Models of Induction"

Titles["SciDisc"] = "Scientific Discovery in the Layperson"

Titles["CBRIndexing"] = "Indexing strategies for goal specific retrieval of cases"

Titles["eblweak"] = "Explanation-based learning with weak domain theories"

Titles["influence"] = "The Influence of Prior Theories on the Ease of Concept Acquisition"

Titles["IJCAI-Occam"] = "Detecting and Correcting Errors of Omission After Explanation-based Learning"

Titles["Pazzani-MLJ92-Average"] = "A Framework for Average Case Analysis of Conjunctive Learning Algorithms"

Titles["one-sided"] = "One-sided algorithms for integrating empirical and explanation-based learning"

Titles["speechacts"] = "Explanation-Based Learning of Indirect Speech Act Interpretation Rules"

Titles["selecting"] = "Selecting the Best Explanation for Explanation-Based Learning"

Titles["inducing"] = "Inducing Causal and Social Theories: A Prerequisite for Explanation-based Learning"

Titles["usingprior"] = "Using Prior Learning to Facilitate the Learning of New Causal Theories"

Titles["ijcai87"] = "A Comparison of Concept Identification in Human Learning and Network Learning with the Generalized Delta Rule"

Titles["automated"] = "Automated Diagnosis of Attitude Control Anomalies"

Titles["refining"] = "Refining the knowledge base of a diagnostic expert system: An application of failure-driven learning"

Titles["therole"] = "The Role of Prior Causal Theories in Generalization"

Titles["word-meaning"] = "Word-meaning selection in multiprocess language understanding programs."

Titles["coling"] = "Conceptual analysis of garden-path sentences"

Titles["snuka"] = "Interactive Script Instantiation"