1 What is Machine Learning? - Computer Science at Princeton
... To make things as simple as possible, we will often assume that only two labels are possible that we might as well call 0 and 1. We also will make the simplifying assumption that there is a mapping from examples to labels. This mapping is called a concept. Thus, a concept is a function of the form c ...
... To make things as simple as possible, we will often assume that only two labels are possible that we might as well call 0 and 1. We also will make the simplifying assumption that there is a mapping from examples to labels. This mapping is called a concept. Thus, a concept is a function of the form c ...
CSE 590ST Statistical Methods in Computer Science
... • Computers need to be able to handle it • Probability: New foundation for CS ...
... • Computers need to be able to handle it • Probability: New foundation for CS ...
Presentation
... Based on some of von Neumann’s suggestions, McCulloch & Pitts proposed a system using a large number of neurons This allows for robustness – an ability, for example, to recognize a slightly deformed square as still being essentially a square ...
... Based on some of von Neumann’s suggestions, McCulloch & Pitts proposed a system using a large number of neurons This allows for robustness – an ability, for example, to recognize a slightly deformed square as still being essentially a square ...
SSDA_PresemWork
... challenges that are inherent in building a system that can be considered to be intelligent. This subject mainly focused on the area of Artificial Intelligence and its application. It gives the fundamental knowledge about the different algorithm which helps you to design smart system and its applicat ...
... challenges that are inherent in building a system that can be considered to be intelligent. This subject mainly focused on the area of Artificial Intelligence and its application. It gives the fundamental knowledge about the different algorithm which helps you to design smart system and its applicat ...
Knowledge Representation (and some more Machine Learning)
... Single Layer ANNs (Proceptrons) can capture linearly separable functions Multi-layer ANNs can caputer much more complex functions and can be effectively trained using backpropagation Not a silver bullet ...
... Single Layer ANNs (Proceptrons) can capture linearly separable functions Multi-layer ANNs can caputer much more complex functions and can be effectively trained using backpropagation Not a silver bullet ...
of Deep Apprenticeship Learning for Playing Video Games
... while avoiding cars. Freeway is interesting from an RL perspective, because the agent only obtains a reward after crossing the street. That is, the reward occurs only after many actions are taken, and provided that the right actions are taken. This rare reward situation is very hard for RL systems. ...
... while avoiding cars. Freeway is interesting from an RL perspective, because the agent only obtains a reward after crossing the street. That is, the reward occurs only after many actions are taken, and provided that the right actions are taken. This rare reward situation is very hard for RL systems. ...
Will AI surpass human intelligence? -
... Dogs and cats can do it. It does not require high intelligence such as language ability. Only (visual) feature extraction matters. Historically many AI researchers advocate intelligence without representation, embodiment, and cognitive developmental robotics. Intelligence is derived from interaction ...
... Dogs and cats can do it. It does not require high intelligence such as language ability. Only (visual) feature extraction matters. Historically many AI researchers advocate intelligence without representation, embodiment, and cognitive developmental robotics. Intelligence is derived from interaction ...
Document
... information compression, or algorithmic complexity. In computing: minimum length (message, description) encoding. Wolff (2006): all cognition and computation as compression! Analysis and production of natural language, fuzzy pattern recognition, probabilistic reasoning and unsupervised inductive lea ...
... information compression, or algorithmic complexity. In computing: minimum length (message, description) encoding. Wolff (2006): all cognition and computation as compression! Analysis and production of natural language, fuzzy pattern recognition, probabilistic reasoning and unsupervised inductive lea ...
Lec1-AIIntro - Donald Bren School of Information and Computer
... and pursuit, is thought to aim at some good ...
... and pursuit, is thought to aim at some good ...
CP052 E-Commerce Technology
... specify domains and reasoning tasks of a situated software agent, different logical systems for inference over formal domain representations, various learning techniques and agent technology CO2: Identify symbolic knowledge representation to specify domains and reasoning tasks of a situated software ...
... specify domains and reasoning tasks of a situated software agent, different logical systems for inference over formal domain representations, various learning techniques and agent technology CO2: Identify symbolic knowledge representation to specify domains and reasoning tasks of a situated software ...
Background
... The testing was divided into four stages. The first test of the core program was the message processing unit. The goal in this test was for data to be read by the console, passed on by message units to the message processing unit, and finally progress to the brain. The second test of the core progra ...
... The testing was divided into four stages. The first test of the core program was the message processing unit. The goal in this test was for data to be read by the console, passed on by message units to the message processing unit, and finally progress to the brain. The second test of the core progra ...
Document
... [1] O’Regan, J.K. and Noe, A. “A sensorimotor account of vision and visual consciousness”, submitted to Behavioral and Brain ...
... [1] O’Regan, J.K. and Noe, A. “A sensorimotor account of vision and visual consciousness”, submitted to Behavioral and Brain ...
Learning Theories
... Piaget moved from Switzerland to Paris, France after his graduation and he taught at the GrangeAux-Belles Street School for Boys. The school was run by Alfred Binet (intelligence test) and Piaget assisted in the marking of Binet's intelligence tests and he noticed that young children consistently ga ...
... Piaget moved from Switzerland to Paris, France after his graduation and he taught at the GrangeAux-Belles Street School for Boys. The school was run by Alfred Binet (intelligence test) and Piaget assisted in the marking of Binet's intelligence tests and he noticed that young children consistently ga ...
3.1 Presentation
... dry, unmotivating & didn’t transfer to new situations Treated the learner as a bucket into which knowledge about the world was poured Ignores unobservable aspects of learning (such as thinking, reflection, memory, and motivation) Overlooks or even ignores unintended outcomes Too much emphasis on ins ...
... dry, unmotivating & didn’t transfer to new situations Treated the learner as a bucket into which knowledge about the world was poured Ignores unobservable aspects of learning (such as thinking, reflection, memory, and motivation) Overlooks or even ignores unintended outcomes Too much emphasis on ins ...
Situated learning as a model for the design of an interactive
... Merely providing examples from real-world situations to illustrate the concept being taught is not sufficient for designing a learning environment with authentic contexts. Ignoring the situated nature of cognition would defeat our main educational goal of providing useable, robust knowledge (Bro ...
... Merely providing examples from real-world situations to illustrate the concept being taught is not sufficient for designing a learning environment with authentic contexts. Ignoring the situated nature of cognition would defeat our main educational goal of providing useable, robust knowledge (Bro ...
Inverse Models Predict Mirroring Offsets and Explain the Acquisition
... Control-theoretic inverse models are very useful for learning and generating flexible sensorygoal directed motor behaviors. We have recently proposed a simple eligibility-weighted Hebbian learning rule capable of provably forming inverse models in high dimensional linear networks by associating rand ...
... Control-theoretic inverse models are very useful for learning and generating flexible sensorygoal directed motor behaviors. We have recently proposed a simple eligibility-weighted Hebbian learning rule capable of provably forming inverse models in high dimensional linear networks by associating rand ...
The psychology of second language acquisition
... learning L2; emotional or affective factors are dominant (learning by a member of the dominant group in a society) ...
... learning L2; emotional or affective factors are dominant (learning by a member of the dominant group in a society) ...
On supporting the process of learning design through planners
... of expert systems, but with the broad problem category of “designing learning activities”. The automated design of learning sequences is not a novel idea, but several authors have approached tools that aggregate contents into higher levels of instruction (Vassileva and Deters, 1998), use past activ ...
... of expert systems, but with the broad problem category of “designing learning activities”. The automated design of learning sequences is not a novel idea, but several authors have approached tools that aggregate contents into higher levels of instruction (Vassileva and Deters, 1998), use past activ ...
File
... - As well as the learning process depends on the external environment, it is regarded as habit-formation. ...
... - As well as the learning process depends on the external environment, it is regarded as habit-formation. ...
Studying Emotion and Interaction between Autonomous Cognitive Agents
... isolation, the Psi theory directs its attention instead on the modulation of cognition by motivational and emotional processes and the resulting relationship of an individual to its environment, specifically with respect to affordances (Gibson, 1977). Thus, it is less interested in modeling problem ...
... isolation, the Psi theory directs its attention instead on the modulation of cognition by motivational and emotional processes and the resulting relationship of an individual to its environment, specifically with respect to affordances (Gibson, 1977). Thus, it is less interested in modeling problem ...
How do students learn? - Misericordia University
... at Cmabrigde Uinervtisy, it dseno't mtaetr in waht oerdr the ltteres in a word are. The olny iproamtnt tihng is taht the frsit and lsat ltteer be in the rghit pclae. The rset can be a taotl mses and you can sitll raed it whotuit a pboerlm. Tihs is bcuseae the huamn mnid deos not raed ervey lteter by ...
... at Cmabrigde Uinervtisy, it dseno't mtaetr in waht oerdr the ltteres in a word are. The olny iproamtnt tihng is taht the frsit and lsat ltteer be in the rghit pclae. The rset can be a taotl mses and you can sitll raed it whotuit a pboerlm. Tihs is bcuseae the huamn mnid deos not raed ervey lteter by ...
pdf)
... The simplest explanation that is consistent with all observations is the best. – E.g, the smallest decision tree that correctly classifies all of the training examples is the best. – Finding the provably smallest decision tree is NP-Hard, so instead of constructing the absolute smallest tree consi ...
... The simplest explanation that is consistent with all observations is the best. – E.g, the smallest decision tree that correctly classifies all of the training examples is the best. – Finding the provably smallest decision tree is NP-Hard, so instead of constructing the absolute smallest tree consi ...