<p>For informational purposes, the list of questions that were migrated were:</p>

<ul>
<li><a href="https://stats.stackexchange.com/q/23335">Classification with tall fat data</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23331">Why is there an asymmetry between the training step and evaluation step?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23340">Possible to get a better ANN by removing some connections?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23509">Fast method for finding best metaparameters of SVM (that is faster than grid search)</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23507">Creating a maximum entropy Markov model from an existing multi-input maximum entropy classifier</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23505">What is a good method for designing an HTM network in terms of depth and breadth?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23502">Domain-agnostic feature engineering that retains semantic meaning?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23501">Probabilistic (Bayesian) vs Optimisation (Frequentist) methods in Machine Learning</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23497">What&#39;s the correct way to test the significance of classification results</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23493">What is the proper naming scheme for dataset parts?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23490">Why do naive Bayesian classifiers perform so well?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23488">Applying machine learning for DDoS filtering</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23486">On what tasks does neuroevolution outperform basic application of neural networks or genetic algorithms?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23484">What are alternatives to VC-dimension for measuring the complexity of neural networks?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23481">Are there algorithms for computing &quot;running&quot; linear or logistic regression parameters?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23479">Why do we assume that the error is normally distributed?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23472">How to decide on the correct number of clusters?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23470">Does a sparse training set adversely affect an SVM?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23468">Problem specific regularization</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23465">Probability and log probability in hidden Markov models</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23463">Are machine learning techniques &quot;approximation algorithms&quot;?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23459">Is there a Project Euler-alike for machine learning?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23456">Dealing with datasets with a variable number of features</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23454">Are associative networks still pertinent for data mining applications?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23451">What language to use for genetic programming</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23448">How to create recommender system that integrates both collaborative filtering and content features?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23445">Why does Natural Language Processing not fall under Machine Learning domain?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23439">Modern neural networks that build their own topology</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23435">How would you design a machine learning system to play Angry Birds?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23433">Are MFCCs the optimal method of representing music to a retrieval system?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23431">Fiducial Inference in Machine Learning</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23429">At what n do n-grams become counterproductive?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23427">Classification of observation symbols in a HMM?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23426">Automatic feature selection for anomaly detection</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23423">Multilayer neural networks for multivariate temporal data</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23420">Is whitening always good?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23417">Dynamic recommender systems</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23415">Classifier success rate and confidence intervals</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23411">How can I help ensure testing data does not leak into training data?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23409">Decision trees and backward pruning</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23407">Difference between dynamic programming and temporal difference learning in reinforcement learning</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23406">Subtree replacement vs subtree raising</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23403">Automatic data cleansing</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23402">https://stats.stackexchange.com/q/23402</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23399">Approaches when learning from huge datasets?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23397">Kernel matrix normalisation</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23395">What is standing in the way of pulsed neural networks being used in applications?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23393">CCA/KCCA for more than two views</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23391">How does a Support Vector Machine (SVM) work?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23388">In boosting, why are the learners &quot;weak&quot;?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23386">What is a kernel and what sets it apart from other functions</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23384">Independence in classification</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23382">Best bandit algorithm?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23380">What are probabilistic approaches to finding the right number of clusters?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23377">What is the Drosophila of AI now?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23375">Are experts harmful?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23373">Beyond Fisher kernels</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23371">Dealing with very large time-series datasets</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23369">Classification of conversations based on content</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23367">Where do I find large face datasets?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23365">Probabilistic outputs from SVMs</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23363">Online clustering</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23360">Viable distance metric for text articles</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23358">Continuous Multistate Ada-boost method?</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23357">MRF MAP inference for non-submodular pairwise terms</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23355">How to perform Gaussian process regression when  function being approximated changes over time? </a>  </li>
<li><a href="https://stats.stackexchange.com/q/23353">PCA, LDA, CCA, and PLS</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23352">Large performance variance when using back-propagation in neural networks for feature extraction</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23351">Average case analysis of learning algorithms</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23348">Dealing with mixed categorical data: e.g. Heritage Health Prize data</a>  </li>
<li><a href="https://stats.stackexchange.com/q/23347">Number of states and symbols in multi class Hidden Markov Model classifier</a>  </li>
</ul>
