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Internet Advertising and Optimal Auction Design +
Interpretable Nonnegative Matrix Decompositions +
Introducing Meta-Services for Biomedical Information Extraction +
Introduction to Information Retrieval +
Introduction to Information Retrieval +
Involving Domain Experts in Authoring OWL Ontologies +
Joint Latent Topic Models for Text and Citations +
Joint Unsupervised Coreference Resolution with Markov Logic +
Knowledge Discovery of Semantic Relationships Between Words Using Nonparametric Bayesian Graph Model +
Knowledge Transfer via Multiple Model Local Structure Mapping +
LIBLINEAR: A Library for Large Linear Classification +
LT-TTT2 Example Pipelines Documentation +
Land Cover Change Detection: A Case Study +
Language Independent Text Correction Using Finite State Automata +
Language Resources for Semantic Document Annotation and Crosslingual Retrieval +
Large Scale Data Analysis and Modelling in Online Services and Advertising +
Learning a Mahalanobis Distance Metric for Data Clustering and Classification +
Learning Classifiers from Only Positive and Unlabeled Data +
Learning Methods for Lung Tumor Markerless Gating in Image-guided Radiotherapy +
Learning the Species of Biomedical Named Entities from Annotated Corpora +
Learning Subspace Kernels for Classification +
Learning to Link with Wikipedia +
Learning from Labeled Features Using Generalized Expectation Criteria +
Learning from Multi-topic Web Documents for Contextual Advertisement +
Lecture 17 - Integer Linear Programming +
Linking Documents to Encyclopedic Knowledge +
Local Peculiarity Factor and Its Application in Outlier Detection +
Locality Sensitive Hash Functions based on Concomitant Rank Order Statistics +
Machine Learning Approaches to Coreference Resolution +
Managing Demographic Risk +
Manually Structured Digital Abstracts: A scaffold for automatic text mining. +
Manually Structured Digital Abstracts: A scaffold for automatic text mining. +
Meta Analysis within Authorship Verification +
Methods for Testing Theory and Evaluating Impact in Randomized Field Trials: Intent-to-treat Analyses for Integrating the Perspectives of Person, Place, and Time +
Microscopic Evolution of Social Networks +
Mining Adaptively Frequent Closed Unlabeled Rooted Trees in Data Streams +
Mining Massive RFID, Trajectory, and Traffic Data Sets +
Mining Multi-faceted Overviews of Arbitrary Topics in a Text Collection +
Mining Preferences from Superior and Inferior Examples +
Mining relational data from text: From strictly supervised to weakly supervised learning +
Mining Uncertain and Probabilistic Data: Problems, Challenges, Methods, and Applications +
Mining the Web to Create Specialized Glossaries +
Mixed Membership Stochastic Blockmodels +
Mobile Call Graphs: Beyond Power-law and Lognormal Distributions +
Model-based Document Clustering with a Collapsed Gibbs Sampler +
Modeling Documents by Combining Semantic Concepts with Unsupervised Statistical Learning +
Modeling Latent-dynamic in Shallow Parsing: A Latent Conditional Model with Improved Inference +
Modeling Science +
Morpheus: Interactive Exploration of Subspace Clustering +
Morphological Analyzer for Malayalam Verbs +
Multi-class Cost-sensitive Boosting with P-norm Loss Functions +
Multimedia Interpretation for Dynamic Ontology Evolution +
Municipal Finance Glossary +
NLP Techniques for Term Extraction and Ontology Population +
Named Entity Normalization in User Generated Content +
Named Entity WordNet +
Natural Language Database Interface for the Community Based Monitoring System +
Noun Phrase Bracketing Guidelines, Version 1.0 +
Nudge: Improving Decisions About Health, Wealth, and Happiness +
Ontology-Based Corpus and Annotation Scheme. Towards an OBIE Gold Standard that Contains Even Implicit Facts +
On Referring and Not Referring +
On Updates That Constrain the Features' Connections During Learning +
One-Class Collaborative Filtering +
One-Step Sparse Estimates in Nonconcave Penalized Likelihood Models (with discussion) +
Online Multiagent Learning Against Memory Bounded Adversaries +
Online-updating Regularized Kernel Matrix Factorization Models for Large-scale Recommender Systems +
OntoDM: An Ontology of Data Mining +
Ontology-based Information Extraction and Integration from Heterogeneous Data Sources +
Ontology Learning and Semantic Annotation: a Necessary Symbiosis +
Ontology Learning and Population: Bridging the gap between text and knowledge +
OpenCog: A Software Framework for Integrative Artificial General Intelligence +
Opinion Mining and Sentiment Analysis +
Overview of BioCreative II gene normalization +
Overview of BioCreative II Gene Mention Recognition +
PLEDS: A Personalized Entity Detection System Based on Web Log Mining Techniques +
Partial Least Squares Regression for Graph Mining +
Partitioned Logistic Regression for Spam Filtering +
Pattern-Miner: Integrated Management and Mining over Data Mining Models +
Permu-pattern: Discovery of Mutable Permutation Patterns with Proximity Constraint +
Phrase Chunking Using Entropy Guided Transformation Learning +
Physics of the Impossible: A Scientific Exploration Into the World of Phasers, Force Fields, Teleportation, and Time Travel +
Pictor: An Interactive System for Importing Data from a Website +
Privacy-preserving Cox Regression for Survival Analysis +
Probabilistic Latent Semantic Visualization: Topic Model for Visualizing Documents +
Pushing the EL Envelope Further +
Putting the Altruism Back Into Altruism: The Evolution of Empathy +
Quantitative Evaluation of Approximate Frequent Pattern Mining Algorithms +
Reconstructing Chemical Reaction Networks: Data Mining Meets System Identification +
deterministic algorithm +
Redundancy in Web-scale Information Extraction: Probabilistic Model and Experimental Results +
Regularization Paths and Coordinate Descent +
Relational Learning via Collective Matrix Factorization +
Requirements Specification Using Fact-Oriented Modeling: A Case Study and Generalization +
Rule based Synonyms for Entity Extraction from Noisy Text +
SAIL: Summation-based Incremental Learning for Information-theoretic Clustering +
Semantic Relation Discovery by Harvesting Online Ontologies +
SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets +
SPIRAL: Efficient and Exact Model Identification for Hidden Markov Models +
Scalable and Near Real-time Burst Detection from ECommerce Queries +
Scaling Up Text Classification for Large File Systems +