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Labor Force Participation: Recent Developments and Future Prospects +
Large Margin Distribution Machine +
Large-scale Adaptive Semi-supervised Learning via Unified Inductive and Transductive Model +
Large-scale High-precision Topic Modeling on Twitter +
Large Scale Predictive Modeling for Micro-simulation of 3G Air Interface Load +
Large Scale Visual Recommendations from Street Fashion Images +
Leading Digital: Turning Technology Into Business Transformation +
Learning Character-level Representations for Part-of-Speech Tagging +
Learning Everything About Anything: Webly-Supervised Visual Concept Learning +
Learning Language from a Large (Unannotated) Corpus +
Learning Multifractal Structure in Large Networks +
Learning Phrase Representations Using {RNN} Encoder-Decoder for Statistical Machine Translation +
Learning Time-series Shapelets +
Learning with Dual Heterogeneity: A Nonparametric Bayes Model +
Leveraging User Libraries to Bootstrap Collaborative Filtering +
Linked Open Data and Web Corpus Data for Noun Compound Bracketing. +
Log-based Predictive Maintenance +
Looking for Hyponyms in Vector Space +
MMRate: Inferring Multi-aspect Diffusion Networks with Multi-pattern Cascades +
Machine Learning: An Algorithmic Perspective, Second Edition +
Major Technical Advancements in Apache Hive +
Marble: High-throughput Phenotyping from Electronic Health Records via Sparse Nonnegative Tensor Factorization +
Marky: A Tool Supporting Annotation Consistency in Multi-user and Iterative Document Annotation Projects +
Budget Glossary +
Matching Users and Items Across Domains to Improve the Recommendation Quality +
Measuring User Engagement +
Medicine in the Age of Electronic Health Records +
Meta-path based Multi-network Collective Link Prediction +
Meteor Universal: Language Specific Translation Evaluation for Any Target Language +
Methods for Ordinal Peer Grading +
Micropublications: A Semantic Model for Claims, Evidence, Arguments and Annotations in Biomedical Communications +
Microsoft COCO: Common Objects in Context +
Minimizing Seed Set Selection with Probabilistic Coverage Guarantee in a Social Network +
Mining Text Snippets for Images on the Web +
Mining Topics in Documents: Standing on the Shoulders of Big Data +
Mobile App Recommendations with Security and Privacy Awareness +
Modeling Delayed Feedback in Display Advertising +
Modeling Human Location Data with Mixtures of Kernel Densities +
Modeling Impression Discounting in Large-scale Recommender Systems +
Modeling Mass Protest Adoption in Social Network Communities Using Geometric Brownian Motion +
Modeling Professional Similarity by Mining Professional Career Trajectories +
Money Creation in the Modern Economy +
Morphological Analysis of the Bishnupriya Manipuri Language Using Finite State Transducers +
Multi-task Copula by Sparse Graph Regression +
Multimodal Distributional Semantics +
Multiword Noun Compound Bracketing Using Wikipedia +
Name Entities Made Obvious: The Participation in the ERD 2014 Evaluation +
Network In Network +
Network In Network +
Networked Bandits with Disjoint Linear Payoffs +
Neural Turing Machines +
Neural Word Embedding As Implicit Matrix Factorization +
New Algorithms for Parking Demand Management and a City-scale Deployment +
New World Order +
Non-parametric Scan Statistics for Event Detection and Forecasting in Heterogeneous Social Media Graphs +
Novel Geospatial Interpolation Analytics for General Meteorological Measurements +
Observational and Interventional Study Design Types; An Overview +
On Power Law Distributions in Large-scale Taxonomies +
On Social Event Organization +
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling +
Online Chinese Restaurant Process +
Online Multiple Kernel Regression +
On the Permanence of Vertices in Network Communities +
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches +
Ontology-Based Interpretation of Natural Language +
Ontology of Core Data Mining Entities +
Open Challenges for Data Stream Mining Research +
Open-domain Quantity Queries on Web Tables: Annotation, Response, and Consensus Models +
OpenML: Networked Science in Machine Learning +
Open Question Answering over Curated and Extracted Knowledge Bases +
Optimal Real-time Bidding for Display Advertising +
Optimal Recommendations under Attraction, Aversion, and Social Influence +
Origins of Language: A Slim Guide +
Outlier Detection for Temporal Data: A Survey +
OverFeat: Integrated Recognition, Localization and Detection Using Convolutional Networks +
Overview of the English Slot Filling Track at the TAC2014 Knowledge Base Population Evaluation +
Parallel Gibbs Sampling for Hierarchical Dirichlet Processes via Gamma Processes Equivalence +
Parallel Materialisation of Datalog Programs in Centralised, Main-Memory RDF Systems. +
Parallelizing Exploration-exploitation Tradeoffs in Gaussian Process Bandit Optimization +
Partitional Clustering Algorithms +
Pennsylvania Municipalities Chart of Accounts 5th Edition +
People on Drugs: Credibility of User Statements in Health Communities +
Personalized Search Result Diversification via Structured Learning +
Polanyi's Paradox and the Shape of Employment Growth +
Political Order and Political Decay: From the Industrial Revolution to the Globalization of Democracy +
Predicting Employee Expertise for Talent Management in the Enterprise +
Predicting Long-term Impact of CQA Posts: A Comprehensive Viewpoint +
Predicting Student Risks through Longitudinal Analysis +
Prediction of Human Emergency Behavior and their Mobility Following Large-scale Disaster +
Predictive Analysis of Engine Health for Decision Support +
Predictive Modeling in Practice: A Case Study from Sprint +
Proactive Workflow Modeling by Stochastic Processes with Application to Healthcare Operation and Management +
Probabilistic Approaches to Recommendations +
Probabilistic Latent Network Visualization: Inferring and Embedding Diffusion Networks +
Proceedings of the Ninth Workshop on Statistical Machine Translation +
Product Selection Problem: Improve Market Share by Learning Consumer Behavior +
Profit-maximizing Cluster Hires +
Profits Without Prosperity. +
Prototype-based Learning on Concept-drifting Data Streams +
Provable Deterministic Leverage Score Sampling +