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ORCIDICMLA 2014: Detroit, MI, USA
- 13th International Conference on Machine Learning and Applications, ICMLA 2014, Detroit, MI, USA, December 3-6, 2014. IEEE 2014, ISBN 978-1-4799-7415-3
- Tyler G. R. Reid, Paul M. Tarantino:
Arctic Sea Ice Extent Forecasting Using Support Vector Regression. 1-6 - Kun Deng, Russ Greiner, Susan A. Murphy:
Budgeted Learning for Developing Personalized Treatment. 7-14 - Kin Wah Edward Lin
, Tian Feng, Natalie Agus, Clifford So, Simon Lui:
Modelling Mutual Information between Voiceprint and Optimal Number of Mel-Frequency Cepstral Coefficients in Voice Discrimination. 15-20 - Britton Wolfe, Karim O. Elish, Danfeng Yao:
High Precision Screening for Android Malware with Dimensionality Reduction. 21-28 - Andreea-Ingrid Funie, Mark Salmon, Wayne Luk:
A Hybrid Genetic-Programming Swarm-Optimisation Approach for Examining the Nature and Stability of High Frequency Trading Strategies. 29-34 - Maxim Buzdalov, Sergey Knyazev, Yuri Porozov:
Protein Conformation Motion Modeling Using Sep-CMA-ES. 35-40 - Kaushik Sinha:
LSH vs Randomized Partition Trees: Which One to Use for Nearest Neighbor Search? 41-46 - Amit Surana, Kunal Srivastava:
Bayesian Nonparametric Inverse Reinforcement Learning for Switched Markov Decision Processes. 47-54 - Wenshuai Cheng, Liying Fang, Lin Yang, Han Zhao, Pu Wang, Jianzhuo Yan:
Varying Coefficient Models for Analyzing the Effects of Risk Factors on Pregnant Women's Blood Pressure. 55-60 - Mahsa Mohaghegh, Hossein Sarrafzadeh, Mehdi Mohammadi:
Ensemble Statistical and Heuristic Models for Unsupervised Word Alignment. 61-66 - Malte Darnstädt, Hendrik Meutzner, Dorothea Kolossa:
Reducing the Cost of Breaking Audio CAPTCHAs by Active and Semi-supervised Learning. 67-73 - Reem Al-Otaibi, Meelis Kull, Peter A. Flach:
LaCova: A Tree-Based Multi-label Classifier Using Label Covariance as Splitting Criterion. 74-79 - Dingsheng Luo, Yi Wang, Xiaoqiang Han, Xihong Wu:
A Cyclic Contrastive Divergence Learning Algorithm for High-Order RBMs. 80-86 - Mingzhu Zhu, Wei Xiong, Yi-fang Brook Wu:
Learning to Rank with Only Positive Examples. 87-92 - Aadirupa Saha, Chandrahas Dewangan, Harikrishna Narasimhan, Sriram Sampath, Shivani Agarwal:
Learning Score Systems for Patient Mortality Prediction in Intensive Care Units via Orthogonal Matching Pursuit. 93-98 - Ali Abusnina, Daniel Kudenko, Rolf Roth:
Improving Robustness of Gaussian Process-Based Inferential Control System Using Kernel Principle Component Analysis. 99-104 - Zhao Cheng, Laura E. Ray:
State Abstraction in Reinforcement Learning by Eliminating Useless Dimensions. 105-110 - Fernando Martínez-Plumed, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana:
A Knowledge Growth and Consolidation Framework for Lifelong Machine Learning Systems. 111-116 - Hakan Demir, Arzucan Özgür:
Improving Named Entity Recognition for Morphologically Rich Languages Using Word Embeddings. 117-122 - Rodrigo Araujo, Mohamed S. Kamel:
Semi-supervised Kernel-Based Temporal Clustering. 123-128 - Cristiano Inácio Lemes, Diego Furtado Silva, Gustavo E. A. P. A. Batista:
Adding Diversity to Rank Examples in Anytime Nearest Neighbor Classification. 129-134 - Tarfa Hamed, Rozita Dara, Stefan C. Kremer:
An Accurate, Fast Embedded Feature Selection for SVMs. 135-140 - Maxim Buzdalov:
A Switch-and-Restart Algorithm with Exponential Restart Strategy for Objective Selection and its Runtime Analysis. 141-146 - Adam Drake, Dan Ventura:
Improving Spectral Learning by Using Multiple Representations. 147-152 - Adam Drake, Dan Ventura:
Using Spectral Features to Improve Sentiment Analysis. 153-158 - Earnest Paul Ijjina, Chalavadi Krishna Mohan:
Human Action Recognition Based on MOCAP Information Using Convolution Neural Networks. 159-164 - Syeda Selina Akter, Lawrence B. Holder:
Activity Recognition Using Graphical Features. 165-170 - Zhaoyi Kang, Costas J. Spanos:
Sequential Logistic Principal Component Analysis (SLPCA): Dimensional Reduction in Streaming Multivariate Binary-State System. 171-177 - Earnest Paul Ijjina, Chalavadi Krishna Mohan:
Human Action Recognition Based on Recognition of Linear Patterns in Action Bank Features Using Convolutional Neural Networks. 178-182 - Michael R. Smith, Tony R. Martinez:
Reducing the Effects of Detrimental Instances. 183-188 - Jeremy A. Marvel:
Adaptive Restructuring of Radial Basis Functions Using Integrate-and-Fire Neurons. 189-194 - Rakesh Deivachilai, Tim Oates:
On-Line Signature Verification Using Symbolic Aggregate Approximation (SAX) and Sequential Mining Optimization (SMO). 195-200 - Sunsern Cheamanunkul, Yoav Freund:
Improved kNN Rule for Small Training Sets. 201-206 - Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Carlos J. Martín-Dancausa, Frederic T. Stahl:
Extraction of Unexpected Rules from Twitter Hashtags and its Application to Sport Events. 207-212 - Haibin Liu, Mu Qiao, Daniel B. Greenia, Rama Akkiraju, Stephen Dill, Taiga Nakamura, Yang Song, Hamid R. Motahari Nezhad:
A Machine Learning Approach to Combining Individual Strength and Team Features for Team Recommendation. 213-218 - Han Zhang, Chang-Dong Wang, Jian-Huang Lai:
Topic Detection in Instant Messages. 219-224 - Reda Elbasiony, Walid Gomaa:
WiFi Localization for Mobile Robots Based on Random Forests and GPLVM. 225-230 - Matthieu Toutain, Abderrahim Elmoataz, Olivier Lézoray:
Geometric PDEs on Weighted Graphs for Semi-supervised Classification. 231-236 - Kin Wah Edward Lin, Hans Anderson, Natalie Agus, Clifford So, Simon Lui:
Visualising Singing Style under Common Musical Events Using Pitch-Dynamics Trajectories and Modified TRACLUS Clustering. 237-242 - Rohit Rawat, Kunal Vora, Michael T. Manry, Gautam Eapi:
Multi-variable Neural Network Forecasting Using Two Stage Feature Selection. 243-250 - Richard de Groof, Iren Valova:
Genetically Supervised Self-Organizing Map for the Classification of Glass Samples. 251-256 - Arisoa S. Randrianasolo, Larry D. Pyeatt:
Q-Learning: From Computer Network Security to Software Security. 257-262 - Alejandro Correa Bahnsen, Djamila Aouada, Björn E. Ottersten:
Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring. 263-269 - Zhiguang Wang, Tim Oates:
Time Warping Symbolic Aggregation Approximation with Bag-of-Patterns Representation for Time Series Classification. 270-275 - Sk. Minhazul Islam, Arunava Banerjee:
Variational Inference on Infinite Mixtures of Inverse Gaussian, Multinomial Probit and Exponential Regression. 276-281 - Anjan Goswami, Fares Hedayati, Prasant Mohapatra:
Recommendation Systems for Markets with Two Sided Preferences. 282-287 - Xunhu Sun, Philip K. Chan:
An Analysis of Instance Selection for Neural Networks to Improve Training Speed. 288-293 - Joana Cósta, Catarina Silva, Mário Antunes, Bernardete Ribeiro:
Concept Drift Awareness in Twitter Streams. 294-299 - Aardra Kannan Ambili, Khaled M. Rasheed:
Automated Scoring of the Level of Integrative Complexity from Text Using Machine Learning. 300-305 - Xiaozhen Xue, Yulei Pang, Akbar Siami Namin:
Feature Selections for Effectively Localizing Faulty Events in GUI Applications. 306-311 - Farideh Fazayeli, Arindam Banerjee, Jens Kattge, Franziska Schrodt, Peter B. Reich:
Uncertainty Quantified Matrix Completion Using Bayesian Hierarchical Matrix Factorization. 312-317 - Renan de Padua, Solange Oliveira Rezende, Veronica Oliveira de Carvalho:
Post-Processing Association Rules Using Networks and Transductive Learning. 318-323 - Lijun Wang, Ming Dong:
Detection of Abnormal Human Behavior Using a Matrix Approximation-Based Approach. 324-329 - Alexander V. Bernstein, Alexander P. Kuleshov:
Dimensionality Reduction in Statistical Learning. 330-335 - Imad Rida, Romain Hérault, Gilles Gasso:
Supervised Music Chord Recognition. 336-341 - Matthias Blankenburg, Christian Bloch, Jörg Krüger:
Computation of a Rejection Threshold Used for the Bayes Classifier. 342-349 - Daniil Chivilikhin, Vladimir Ulyantsev, Anatoly Shalyto:
Combining Exact and Metaheuristic Techniques for Learning Extended Finite-State Machines from Test Scenarios and Temporal Properties. 350-355 - Rodrigo A. Coelho, Fabricio dos R. N. Guimaraes, Ahmed Ali Abdalla Esmin:
Applying Swarm Ensemble Clustering Technique for Fault Prediction Using Software Metrics. 356-361 - Ezilda Almeida, Pedro Ferreira, Tiago T. V. Vinhoza, Inês de Castro Dutra, Paulo Vinicius Koerich Borges, Yirong Wu, Elizabeth S. Burnside:
Expert Bayes: Automatically Refining Manually Built Bayesian Networks. 362-366 - Telmo Amaral, Chetak Kandaswamy, Luís M. Silva, Luís A. Alexandre, Joaquim Marques de Sá, Jorge M. Santos:
Improving Performance on Problems with Few Labelled Data by Reusing Stacked Auto-Encoders. 367-372 - Raed Almomani, Ming Dong, Zhou Liu:
Learning Good Features to Track. 373-378 - Robert LeMoyne, Wesley T. Kerr, Timothy Mastroianni, Anthony L. Hessel:
Implementation of Machine Learning for Classifying Hemiplegic Gait Disparity through Use of a Force Plate. 379-382 - Muhammad Rizwan, David V. Anderson:
Using k-Nearest Neighbor and Speaker Ranking for Phoneme Prediction. 383-387 - Earnest Paul Ijjina, Chalavadi Krishna Mohan:
One-Shot Periodic Activity Recognition Using Convolutional Neural Networks. 388-391 - Earnest Paul Ijjina, Chalavadi Krishna Mohan:
Facial Expression Recognition Using Kinect Depth Sensor and Convolutional Neural Networks. 392-396 - Philipp Bergmeir, Christof Nitsche, Jurgen Nonnast, Michael Bargende, Peter Antony, Uwe Keller:
Using Balanced Random Forests on Load Spectrum Data for Classifying Component Failures of a Hybrid Electric Vehicle Fleet. 397-404 - Kamelia Aryafar, Ali Shokoufandeh:
Multimodal Sparsity-Eager Support Vector Machines for Music Classification. 405-408 - Ali Bou Nassif, Shadi Banitaan:
A Better Case Adaptation Method for Case-Based Effort Estimation Using Multi-objective Optimization. 409-414 - Ahmad Slim, Gregory L. Heileman, Jarred Kozlick, Chaouki T. Abdallah:
Employing Markov Networks on Curriculum Graphs to Predict Student Performance. 415-418 - Arezou Moussavi Khalkhali, Mo M. Jamshidi, Lutcher Brown:
Leveraging Machine Learning Algorithms to Perform Online and Offline Highway Traffic Flow Predictions. 419-423 - William A. Rivera, Amit Goel, J. Peter Kincaid:
OUPS: A Combined Approach Using SMOTE and Propensity Score Matching. 424-427 - April Morton, Eman Marzban, Georgios Giannoulis, Ayush Patel, Rajender Aparasu, Ioannis A. Kakadiaris:
A Comparison of Supervised Machine Learning Techniques for Predicting Short-Term In-Hospital Length of Stay among Diabetic Patients. 428-431 - Moussa Traore, Eric Châtelet, Eddie Soulier, Hossam Gaber:
Diagnosis Using Incomplete Model in Fuzzy Discrete Event System: Application to Crisis Management. 432-440 - Chandrika Kamath, Ya-Ju Fan:
Incremental SVD for Insight into Wind Generation. 441-446 - Hidenori Maruta, Daiki Mitsutake, Fujio Kurokawa:
Transient Characteristics of DC-DC Converter with PID Parameters Selection and Neural Network Control. 447-452 - Ardalan Tebyanian, Fares Hedayati:
Intelligent Crude Oil Price Forecaster. 453-455 - Dusan Stevanovic, Natalija Vlajic:
Next Generation Application-Layer DDoS Defences: Applying the Concepts of Outlier Detection in Data Streams with Concept Drift. 456-462 - Mansour Alsaleh, Abdulrahman Alarifi, AbdulMalik S. Al-Salman, Mohammed Alfayez, Abdulmajeed Almuhaysin:
TSD: Detecting Sybil Accounts in Twitter. 463-469 - Ramazan Terzi, Uraz Yavanoglu, Duygu Sinanc, Dogac Oguz, Semra Cakir:
An Intelligent Technique for Detecting Malicious Users on Mobile Stores. 470-477 - Eyup Burak Ceyhan, Seref Sagiroglu, Ramazan Cesur, Kadriye Oner:
Age Estimation from Fingerprints: Examination of the Population in Turkey. 478-481 - Hanen Bouali, Jalel Akaichi:
Comparative Study of Different Classification Techniques: Heart Disease Use Case. 482-486 - Edwin Lughofer, Eva Weigl, Wolfgang Heidl, Thomas Radauer:
Dynamic Inclusion of New Event Types in Visual Inspection Using Evolving Classifiers. 487-494 - Bongjun Kim, Bryan Pardo:
Speeding Learning of Personalized Audio Equalization. 495-499 - Heriberto Cuayáhuitl, Nina Dethlefs, Helen F. Hastie:
A Semi-supervised Clustering Approach for Semantic Slot Labelling. 500-505 - Kamelia Aryafar, Ali Shokoufandeh:
Multimodal Music and Lyrics Fusion Classifier for Artist Identification. 506-509 - Mayra Alejandra Molina Puentes, Jacob Furst, Daniela Stan Raicu:
Machine-Sourced Segmentations vs. Expert-Sourced Segmentations for the Classification of Lung Nodules with Outlier Removal. 510-515 - Karl-Heinz Weis:
Tool Machines with Brains - Touchless Wheel Alignment with Neural Networks. 516-520 - Farooq Ahmad Bhat, M. Arif Wani:
Performance Comparison of Major Classical Face Recognition Techniques. 521-528 - Deok Hee Nam, Harpreet Singh:
Assessment of Different Image Clutter Metrics Using Multivariate Analyses and Neurofuzzy System. 529-534 - Kittichai Lavangnananda, Ratipong Poolphol:
A Genetic Algorithm Approach to Partitioning Clustering: A Case Study on M.Sc. Applicants. 535-540 - Ching-Hua Chuan, Eric Regina, Caroline Guardino:
American Sign Language Recognition Using Leap Motion Sensor. 541-544 - Sinem Aslan, Zehra Cataltepe, Itai Diner, Onur Dundar, Asli Arslan Esme, Ron Ferens, Gila Kamhi, Ece Oktay, Canan Soysal, Murat Yener:
Learner Engagement Measurement and Classification in 1: 1 Learning. 545-552 - Ching-Hua Chuan, Daniel Dinsmore, Joseph Schmuller, Tyler Morris:
An Intelligent Tutoring System for Argument-Making in Higher Education: A Pilot Study. 553-556 - Gihad N. Sohsah, Emrah Akkurt, Ilkin Safarli, Muhammed Esad Ünal, Onur Güzey:
Automatically Filtering Irrelevant Words for Applications in Language Acquisition. 557-561 - Yulei Pang, Feiya Xiao, Huaying Wang, Xiaozhen Xue:
A Clustering-Based Grouping Model for Enhancing Collaborative Learning. 562-567 - Hanife Goker, Halil-Ibrahim Bulbul:
Improving an Early Warning System to Prediction of Student Examination Achievement. 568-573 - Sedef Gunduz, Fatih Demirhan, Seref Sagiroglu:
Investigating Sentimental Relation between Social Media Presence and Academic Success of Turkish Universities. 574-579 - Irina Petrova, Arina Buzdalova, Maxim Buzdalov:
Improved Selection of Auxiliary Objectives Using Reinforcement Learning in Non-stationary Environment. 580-583 - Arina Buzdalova, Maxim Buzdalov:
A New Algorithm for Adaptive Online Selection of Auxiliary Objectives. 584-587 - Steve Yadlowsky, Preetum Nakkarin, Jingyan Wang, Rishi Sharma, Laurent El Ghaoui:
Iterative Hard Thresholding for Keyword Extraction from Large Text Corpora. 588-593 - Sondre Glimsdal, Ole-Christoffer Granmo:
A Novel Bayesian Network Based Scheme for Finding the Optimal Solution to Stochastic Online Equi-partitioning Problems. 594-599 - Eyup Burak Ceyhan, Seref Sagiroglu, Ramazan Cesur, Kadriye Oner:
Automatic Gender Classification System from Finger 2D: 4D Ratio and Comparison of Successes with Using Different Algorithm. 600-605 - Imme Ebert-Uphoff, Yi Deng:
Causal Discovery from Spatio-Temporal Data with Applications to Climate Science. 606-613 - Adel Aloraini, Moamar Sayed-Mouchaweh:
Graphical Model Based Approach for Fault Diagnosis of Wind Turbines. 614-619 - Adel Aloraini:
A Directed Acyclic Graphical Approach and Ensemble Feature Selection for a Better Drug Development Strategy Using Partial Knowledge from KEGG Signalling Pathways. 620-624
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