PHONE SLAVE: A GRAPHICAL TELECOMMUNICATIONS INTERFACE C. Schmandt and B. Arons Architecture Machine Group, Media Laboratory, MIT Cambridge, M A Abstract - A personalized integrated telecommunications management system is

Source URL: xenia.media.mit.edu

Learning Behaviors by an Autonomous Social Robot with Motivations Álvaro Castro-González, María Malfaz, J.F. Gorostiza, Miguel A. Salichs Abstract In this paper an autonomous social robot is living in a laboratory whe

Source URL: roboticslab.uc3m.es

• Ethology
• Reinforcement learning
• Robot
• Human–robot interaction
• Motivation
• Q-learning
• Machine learning
• Learning
• Autonomous robot
• Behavior
• Mind
• Robotics

Concept learning for safe autonomous AI Kaj Sotala Machine Intelligence Research Institute Abstract

Source URL: intelligence.org

• Philosophy of artificial intelligence
• Cognitive science
• Computational neuroscience
• Artificial intelligence
• Emerging technologies
• Strong AI
• Concept learning
• Conceptual model
• Cognition
• Science
• Ethology
• Mind

Model Selection for Multi-class SVMs Yann Guermeur1 , Myriam Maumy2 , and Fr´ed´eric Sur1 1 2

Source URL: conferences.telecom-bretagne.eu

• Support vector machine
• Valuation
• Reproducing kernel Hilbert space
• Normal distribution
• VC dimension
• Statistics
• Statistical classification
• Abstract algebra

Learning Graph Matching Tib´erio S. Caetano, Li Cheng, Quoc V. Le and Alex J. Smola Statistical Machine Learning Program, NICTA and ANU Canberra ACT 0200, Australia Abstract As a fundamental problem in pattern recogniti

Source URL: www.tiberiocaetano.com

Towards Natural Clarification Questions in Dialogue Systems Svetlana Stoyanchev1 and Alex Liu2 and Julia Hirschberg3 Abstract. Clarifications are often necessary for maintaining human-human as well as human-machine dialo

Source URL: www.cs.columbia.edu

The Geometry of Statistical Machine Translation Aurelien Waite, William Byrne Department of Engineering, University of Cambridge, UK , Abstract

Source URL: mi.eng.cam.ac.uk

Positive Definite Kernels in Machine Learning Marco Cuturi∗ May 6, 2010 Abstract This survey is an introduction to positive definite kernels and the set

Source URL: www.iip.ist.i.kyoto-u.ac.jp

Two Attempts to Formalize Counterpossible Reasoning in Deterministic Settings Nate Soares and Benja Fallenstein Machine Intelligence Research Institute, Berkeley, USA {nate,benja}@intelligence.org Abstract

Source URL: intelligence.org

Large-Scale Machine Learning at Twitter Jimmy Lin and Alek Kolcz Twitter, Inc. ABSTRACT

Source URL: www.umiacs.umd.edu