Gourt > Computers > Artificial Intelligence > Machine Learning (13)
As a broad subfield of artificial intelligence, Machine learning is concerned with the development of algorithms and techniques that allow computers to "learn". At a general level, there are two types of learning: inductive, and deductive. Inductive machine learning methods create computer programs by extracting rules and patterns out of massive data sets. It should be noted that although pattern identification is important to Machine Learning, without rule extraction a process falls more accurately in the field of data mining.
Machine learning overlaps heavily with statistics, since both fields study the analysis of data, but unlike statistics, machine learning is concerned with the algorithmic complexity of computational implementations. Many inference problems turn out to be NP-hard or harder, so part of machine learning research is the development of tractable approximate inference algorithms.
Machine learning has a wide spectrum of applications including search engines, medical diagnosis, bioinformatics and cheminformatics, detecting credit card fraud, stock market analysis, classifying DNA sequences, speech and handwriting recognition, object recognition in computer vision, game playing and robot locomotion.
More on [ Machine learning ]
Data Mining :: Databases
Statistics :: Math
Pol II promoter prediction using characteristic 4-mer motifs: a ... - 7thSpace Interactive (press release)
Sat, 04 Oct 2008 18:08:40 -0000
Pol II promoter prediction using characteristic 4-mer motifs: a ...7thSpace Interactive (press release), NY - Oct 4, 2008Secondly improved performance can be achieved by enhancing the predictive ability of the machine learning algorithms used. Results: In this paper, ...
Ultimate funny guy, ultimate ... fighting machine? - Globe and Mail
Sat, 11 Oct 2008 20:40:29 -0000
Ultimate funny guy, ultimate ... fighting machine?Globe and Mail, Canada - 19 hours ago"It's been a great learning curve for me. I had to learn the craft. I figured if I was the lead of the show, I had better know what I'm doing. ...
Learning for life - Abilene Reporter-News
Sun, 12 Oct 2008 05:31:42 -0000
Learning for lifeAbilene Reporter-News, TX - 10 hours agoReporter-News PhotoS by Ronald W. Erdrich John Lambert crosses his fingers for luck, hoping his machine will work properly, while Matt Torres continues to ...
Learning OpenCV - Kansas City infoZine
Sun, 05 Oct 2008 09:14:38 -0000
Learning OpenCVKansas City infoZine, MO - Oct 5, 2008His current research includes topics in machine learning, statistical modeling, and computer vision. Adrian received his Ph.D. in Theoretical Physics from ...
Building blocks for automated elucidation of metabolites: Machine ... - 7thSpace Interactive (press release)
Thu, 25 Sep 2008 14:47:16 -0000
Building blocks for automated elucidation of metabolites: Machine ...7thSpace Interactive (press release), NY - Sep 25, 2008This paper evaluates different statistical and machine learning methods to perform predictions of proton NMR spectra based on data from our open database ...
Living with diabetes a learning experience - Clearfield Progress
Sat, 11 Oct 2008 17:04:37 -0000
Living with diabetes a learning experienceClearfield Progress, PA - 22 hours ago"They work like a well oiled machine," Mrs. Soltys said of the hospital. She said they could call the hospital any time they needed, which at the outset was ...
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Machine Learning Network Online Information Service - The MLnet OiS offers software, datasets, information about events, research groups, persons and other interesting stuff related to machine learning, knowledge discovery, case-based reasoning, knowledge acquisition, and data mining.
Meta Description: [ The Machine Learning Network Online Information Service provides information and resources related to machine learning, knowledge discovery, case-based reasoning, knowledge acquisition, and data mining. This includes (but is not limited to) research groups, persons within the ML community, softw... ]
Andrew Schein's Web Page - Machine learning approaches to data mining focussing on text mining applications
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Boosting research - A website on Boosting and related ensemble learning methods. Provided links to papers, upcoming events, datasets, and code.
Meta Description: [ Scientific Homepage on Boosting and Ensemble Learning Methods: Combining Neural Networks, Decision Trees or other weak learners to improve the generalization performance ]
Computational Learning Theory - A research field devoted to studying the design and analysis of algorithms for making predictions about the future based on past experiences. The emphasis in COLT is on rigorous mathematical analysis. COLT is largely concerned with computational and data efficiency.
Meta Description: [ Computational Learning Community ]
Gowachin - A competition on Grammatical Inference.
Grammatical Inference - Repository of information on grammatical inference, automata induction, and language acquisition.
Group Method of Data Handling (GMDH) - Review of the GMDH approach for data mining and forecasting, with examples and software
ILPnet2 - Network of Excellence in Inductive Logic Programming.
Integrated Optimization - Artificial Intelligence - Site dedicated to research of artificial intelligence algorithms applied to information retrieval, data mining and optimization methods. Includes FAQs and AI resources for math/science teachers and students.
Meta Description: [ Integrated Optimization,Integrated Optimization Services,Artificial Intelligence Searches,Scientific Marketing,Scientific Marketing Research,Term Vectors,Term Vector Theory,Information Retrieval Intelligence,Information Retrieval Tutorials ]
k-means clustering tutorial - Introduction to k-means clustering, a popular data mining and unsupervised learning algorithm. Free code, software, resources and examples are available for download.
Meta Description: [ k mean clustering tutorial, k mean clustering, k_mean algorithm, kmeans clustering, neural network, unsupervised learning, algorithm, dowload code, cluster, pattern recognition, Visual Basic, centroid, tutorial ]
Kernel machines - A central information source for the area of Support Vector Machines, Gaussian Process prediction, Mathematical Programming with Kernels, Regularization Networks, Reproducing Kernel Hilbert Spaces, and related methods. Provides links to papers, upcoming events, datasets, code.
Machine Learning at AAAI - Starting point for online machine learning resources. Provided by the American Association for Artificial Intelligence.
Meta Description: [ AI Topics provides basic, understandable information and helpful resources concerning artificial intelligence, with an emphasis on material available online. ]
Machine learning for user modeling - Resources for researchers and practitioners interested in the use of learning techniques in intelligent, user-adaptive systems.
Meta Description: [ This page is the main frameset to the website on ML4UM and ML/IR for UM. ]
Machine Learning in Games - How computers can learn to get better at playing games. This site is for artificial intelligence researchers and intrepid game programmers. I describe game programs and their workings; they rely on heuristic search algorithms, neural networks, genetic algorithms, temporal differences, and other methods.
Meta Description: [ How computers can learn to get better at playing games. A site for AI researchers and game programmers. ]
Mixture Modelling page - Mixture modelling, Clustering, Intrinsic classification, Unsupervised learning and Mixture modeling. Links and bibliography.
Pattern Recognition Information - A hub for Pattern Recognition linking to journals, books, bibliographies, jobs, conferences and news.
Pattern Recognition on The Web - Links to various pattern recognition and machine learning resources
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Programming by Example - Programming by example (or by demonstration) is a technique for teaching the computer new behavior by demonstrating actions on concrete examples. The system records user actions and generalizes a program that can be used in new examples.
Proto-Mind Machines - Artificial Neural Network-based natural language conversational agent and intelligent dialogue generator
Meta Description: [ Artificial Neural Network-based natural language conversational agent and intelligent dialogue generator. Real Mind Upload., Given any natural language message, Proto-Mind Model connects it with the messages-predecessors that form its context. These messages are used as templates for future dialo... ]
Reasoning about Computational Resource Allocation - An introduction to anytime algorithms. Published in Crossroads, the student magazine of the ACM.
Meta Description: [ An introduction to ``Anytime Algorithms''; ACM Crossroads 3-1 ]
Reinforcement Learning Repository - A centralized resource for researchers of reinforcement learning. Maintained at University of Massachusetts, Amherst.
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Autonomous Car Driving The video shows a remote controlled car driving car driving automonously. A machine learning algorithm estimates depths from a single monocular image captured from the webcamera mounted on the car at 7 Hz. The car plans a path to avoid obstacles in real-time. More details at: http://ai.stanford.edu/~asaxena/rccar (more) |
