- #Holdem manager 2 tutorial portugues how to
- #Holdem manager 2 tutorial portugues software
Next, we describe how to make research data accessible through publication in a public repository, including metadata, a license for reuse, and citable using a unique and persistent identifier. We begin with a motivation for authors through an overview of why scientists, publishers, funders, and the public care about science practices.
#Holdem manager 2 tutorial portugues software
This tutorial covers best practices in reproducible research, open science, and digital scholarship that help researchers increase citations for their papers, get credit for all their research products, augment their vitae with data and software that they have written, write compelling data management plans for funding proposals, comply with new funder and journal requirements, and practice open and reproducible science. SA1: Learn to Write a Scientific Paper of the Future: Reproducible Research, Open Science, and Digital Scholarshipĭaniel Garijo, Yolanda Gil, and Gail Peretsman-Clement
SUP6: Artificial Intelligence and Video Games - Julian Togelius. SUP5: Neuroevolution Reinforcement Learning - Risto Miikkulainen. SUP4: Predicting Human Decision-Making: Tools of the Trade - Ariel Rosenfeld, Sarit Kraus. SUP3: Introduction to multiAgent Path Finding - Glenn Wagner, Ariel Felner, Sven Koenig. SUP2: Knowledge Graph Construction from Text - Jay Pujara, Sameer Singh, Bhavana Dalvi. SUP1: Interactive Machine Learning: From Classifiers to Robotics - Matthew E. SUA5: Discrete Sampling and Integration for the AI Practitioner - Supratik Chakraborty, Kuldeep S. SUA4: Eliciting High-Quality Information - Boi Faltings, Goran Radanovic. SUA3: Causal Inference and the Data-Fusion Problem - Elias Barenboim. SUA2: Learning Bayesian Networks for Complex Relational Data - Oliver Schulte, Ted Kirkpatrick. SUA1: Deep Learning Implementations and Frameworks - Seiya Tokui, Kenta Oono, Atsunori Kanemura. SP6: Social Data Bias in Machine Learning: Impact, Evaluation, and Correction - Huan Liu, Fred Morstatter. SP5: AI for Data-Driven Decisions in Water Management - Biplav Srivastava, Sandeep S. SP4: Modeling and Solving AI Problems in Picat - Roman Barták, Neng-Fa Zhou. SP3: AI Planning for Robotics - Michael Cashmore, Daniele Magazzeni. SP2: Statistical Relational Artificial Intelligence: Logic, Probability and Computation - Luc De Raedt, David Poole, Kristian Kersting, Sriraam Natarajan. SP1: Recent Advances in Distributed Machine Learning - Wei Chen, Taifeng Wang, Tie-Yan Liu. SA5: Computer Poker - Sam Ganzfried, Johannes Heinrich, Kevin Waugh. 
SA4: IoT Big Data Stream Minin - Gianmarco De Francisci Morales, Albert Bifet, Latifur Khan, Joao Gama, Wei Fan.SA3: Rulelog: Deep KRR for Cognitive Computing - Benjamin Grosof, Michael Kifer, Paul Fodor.
SA2: Risk-Averse Decision Making and Control - Marek Petrik, Mohammad Ghavamzadeh.SA1: Learn to Write a Scientific Paper of the Future: Reproducible Research, Open Science, and Digital Scholarship - Yolanda Gil, Daniel Garijo, Gail Peretsman-Clement.(except where noted times include breaks, if applicable) (All tutorials are 4 hours, including breaks, unless otherwise noted.)
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